U.S. patent application number 16/378176 was filed with the patent office on 2019-08-01 for personalized dynamic system and method of health and wellness treatment.
The applicant listed for this patent is Eco-Fusion. Invention is credited to Oren Fuerst.
Application Number | 20190232063 16/378176 |
Document ID | / |
Family ID | 65998147 |
Filed Date | 2019-08-01 |
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United States Patent
Application |
20190232063 |
Kind Code |
A1 |
Fuerst; Oren |
August 1, 2019 |
PERSONALIZED DYNAMIC SYSTEM AND METHOD OF HEALTH AND WELLNESS
TREATMENT
Abstract
A system and method that includes receiving data from sensors
such as electroencephalography, heart rate, accelerometer, blood
oxygen saturation, pressure, temperature, and galvanic skin
response sensors; determining user physiological information such
as brain activity patterns during sleep, quantity of movement
during sleep, breathing depth and rate, blood pressure, heart rate
and stroke volume, heart rate variability, perspiration level and
stress level based, at least in part, on sensor data; evaluating
the physiological information to determine at least one of sleep
quality, sleep apnea potential, quality of physical activity, and
need for stress management for a user; and providing to user based,
at least in part, on the evaluation, at least one recommendation
such as timing, intensity, level, and type of physical activity to
improve sleep quality, time and type of food consumption to improve
sleep quality, relaxation techniques to reduce stress level, and
nutritional supplements to improve sleep quality.
Inventors: |
Fuerst; Oren; (Ramat Gan,
IL) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Eco-Fusion |
Ramat Hasharon |
|
IL |
|
|
Family ID: |
65998147 |
Appl. No.: |
16/378176 |
Filed: |
April 8, 2019 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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14825391 |
Aug 13, 2015 |
10252058 |
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16378176 |
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14205980 |
Mar 12, 2014 |
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14825391 |
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61776910 |
Mar 12, 2013 |
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61861779 |
Aug 2, 2013 |
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61901259 |
Nov 7, 2013 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
A61M 2205/502 20130101;
A61M 2230/10 20130101; A61B 5/0476 20130101; A61N 1/36014 20130101;
A63F 13/213 20140902; A63F 13/816 20140902; G16H 20/40 20180101;
G16H 20/60 20180101; A61B 5/4815 20130101; A61N 1/36139 20130101;
A61B 5/0205 20130101; A61M 2205/52 20130101; A61M 2230/04 20130101;
A61B 5/4818 20130101; G16H 50/30 20180101; A63F 13/211 20140902;
A61M 2230/63 20130101; A61B 5/01 20130101; A61M 2230/30 20130101;
A61B 5/4266 20130101; A63F 13/46 20140902; A61B 2562/0219 20130101;
A61M 2230/42 20130101; A61M 2230/65 20130101; A61B 5/026 20130101;
A61B 5/6803 20130101; A61N 1/36021 20130101; A61M 2205/3584
20130101; A61B 5/02055 20130101; A61M 2205/3592 20130101; A63F
13/212 20140902; A61B 5/165 20130101; A61B 5/024 20130101; A61M
2021/0072 20130101; A61B 5/681 20130101; A61M 21/02 20130101; A63F
13/798 20140902; G06F 9/00 20130101; A63F 13/533 20140902; G16H
10/60 20180101; A61M 2209/088 20130101; A63F 13/67 20140902; A61M
2205/332 20130101; A61B 5/0022 20130101; G16H 20/30 20180101; G16H
10/20 20180101; A61B 5/4806 20130101; A61M 2205/3553 20130101; A61M
2230/06 20130101; A61B 5/021 20130101; A61B 5/4836 20130101; A61N
1/36031 20170801; A61M 2021/005 20130101; A61M 2230/205 20130101;
A61M 2205/18 20130101; A61M 2230/50 20130101; A61B 5/14542
20130101 |
International
Class: |
A61N 1/36 20060101
A61N001/36; A63F 13/212 20060101 A63F013/212; A61B 5/16 20060101
A61B005/16; A61M 21/02 20060101 A61M021/02; A61B 5/00 20060101
A61B005/00; A61B 5/0205 20060101 A61B005/0205; A61B 5/145 20060101
A61B005/145; A61B 5/021 20060101 A61B005/021; A61B 5/0476 20060101
A61B005/0476 |
Claims
1. A computer-implemented personalized dynamic method, comprising:
providing a plurality of sensors associated with a user;
electronically receiving, by at least one specifically programmed
computer processor, sensor data from the plurality of sensors and
user-specific data; wherein the plurality of sensors comprises: at
least one of the following: (i) a heart rate sensor or heart rate
sensors to detect a heart rate of the user, (ii) a heart rate
variability (HRV) sensor or HRV sensors to detect a heart rate
variability (HRV) of the user, (iii) a stress level sensor or
stress level sensors to detect a stress level of the user, (iv) a
blood flow sensor or blood flow sensors to detect a blood flow of
the user, (v) a breathing pattern sensor or breathing patter
sensors to detect a breathing pattern of the user, (vi) a blood
pressure sensor or blood pressure sensors to detect a blood
pressure of the user, (vii) a sensor or sensors to detect a blood
oxygen level of the user, (vi) an accelerometer sensor or
accelerometer sensors configured to detect at least one movement
pattern of the user, (vii) an electroencephalography (EEG) sensor
or EEG accelerometer sensors to detect a brain activity pattern of
the user, (viii) a temperature sensor or temperature sensors
configured to detect a temperature of the user, or (ix) a galvanic
skin response sensor or galvanic skin response sensors configured
for detecting a perspiration level of the user; wherein the
user-specific data comprises: (i) medical data of the user, (ii)
nutritional data of the user, (iii) historical sleep data of the
user, (iv) exercise data of the user, or (v) well-being data of the
user; dynamically determining, by the processor, a personalized
stimulation plan associated with the user based on the sensor data
and the user-specific data; dynamically activating, by the
processor, based on the personalized stimulation plan of the user,
a plurality of external electrodes to deliver a treatment chosen
from: at least one first transcutaneous electrical nerve
stimulation, at least one first transcutaneous microcurrent
electrical neuromuscular stimulation, and an electric acupuncture
application; wherein each respective external electrode of the
plurality of external electrodes is positioned on an external
surface of skin of the user; wherein each of the external
electrodes is associated with a particular electrode simulation
location, a particular simulation frequency or frequencies, a
particular simulation pattern, a particular simulation intensity,
and a particular simulation duration; wherein the personalized
stimulation plan of the user is based, at least in part, on an
evaluation of at least one of the following for the user: (i) the
blood pressure, (ii) the brain activity pattern, (iii) the sleeping
pattern, (iv) an effectiveness of at least one of the particular
simulation frequency or simulation frequencies, the particular
simulation pattern, the particular simulation intensity, and the
particular simulation duration, (v) the medical data of the user;
(vi) the stress level data, (vii) the movement pattern of the user,
or (viii) the blood flow of the user.
2. The method of claim 1, wherein the plurality of external
electrodes is activated by the at least one specifically programmed
computer processor based, at least in part, on the user data.
3. The method of claim 1, further comprising: dynamically providing
to the user, by the at least one specifically programmed computer
processor, at least one of the following: (i) at least one physical
activity recommendation identifying at least one of: 1) a
recommended timing of at least one physical activity, 2) a
recommended intensity of the at least one physical activity, 3) a
recommended level of the at least one physical activity, or 4) a
recommended type of the at least one physical activity, (ii) at
least one food consumption recommendation identifying at least one
of: 1) a recommended time of food consumption or 2) a recommended
type of the food consumption; (iii) at least one relaxation
recommendation identifying at least one recommended relaxation
technique, or (iv) at least one nutritional supplements
recommendation identifying at least one recommended nutritional
supplement.
4. The method of claim 1, further comprising: providing, to the
user, at least one gaming device configured to electronically
receive at least one of the sensor data or the personalized
stimulation plan of the user; and wherein the at least one gaming
device is configured to dynamically activate, based on the
personalized stimulation plan of the user, the plurality of
external electrodes to deliver the treatment.
5. The method of claim 4, wherein the at least one gaming device is
a virtual reality gaming device.
6. The method of claim 1, further comprising: providing, to the
user, a headband, a wristband, or both; and wherein at least one
external electrode of the plurality of external electrodes is
positioned in the headband, the wristband, or both.
7. The method of claim 6, wherein the headband, the wristband, or
both, comprise the plurality of sensors.
8. The method of claim 7, wherein the plurality of sensors
comprises at least two sensors chosen from: (i) the at least one
electroencephalography sensor, (ii) the at least one accelerometer
sensor, (iii) the at least one blood oxygen saturation sensor, (iv)
the at least one heart rate sensor, (v) the at least one pressure
sensor, (vi) the at least one temperature sensor, and (vii) the at
least one galvanic skin response sensor.
9. The method of claim 1, further comprising: enabling, by the
processor, the user to set at least one Trigger Event (TE) based on
at least one deviation from at least one pre-set biological
parameter, at least one pre-set mental parameter, or both; causing,
by the processor, a performance of at least one Suggested Action or
Automatic Action (SAC).
10. The method of claim 9, wherein the at least one deviation is
determined based at least in part on the sensor data.
11. The method of claim 9, wherein the at least one SAC is chosen
from: 1) activating the plurality of external electrodes to deliver
the treatment; 2) recommending at least one breathing exercise, 3)
recommending a music piece, 4) recommending at least one dietary
supplement, and 5) generating an assistance invoking alert to at
least one third party associated with the user.
12. A system, comprising: a plurality of sensors associated with a
user; wherein the plurality of sensors comprises: at least one of
the following: (i) a heart rate sensor or heart rate sensors to
detect a heart rate of the user, (ii) a heart rate variability
(HRV) sensor or HRV sensors to detect a heart rate variability
(HRV) of the user, (iii) a stress level sensor or stress level
sensors to detect a stress level of the user, (iv) a blood flow
sensor or blood flow sensors to detect a blood flow of the user,
(v) a breathing pattern sensor or breathing patter sensors to
detect a breathing pattern of the user, (vi) a blood pressure
sensor or blood pressure sensors to detect a blood pressure of the
user, (vii) a sensor or sensors to detect a blood oxygen level of
the user, (vi) an accelerometer sensor or accelerometer sensors
configured to detect at least one movement pattern of the user,
(vii) an electroencephalography (EEG) sensor or EEG accelerometer
sensors to detect a brain activity pattern of the user, (viii) a
temperature sensor or temperature sensors configured to detect a
temperature of the user, or (ix) a galvanic skin response sensor or
galvanic skin response sensors configured for detecting a
perspiration level of the user; wherein the user-specific data
comprises: (i) medical data of the user, (ii) nutritional data of
the user, (iii) historical sleep data of the user, (iv) exercise
data of the user, or (v) well-being data of the user; a plurality
of external electrodes; wherein each respective external electrode
of the plurality of external electrodes is positioned on an
external surface of skin of the user; at least one specialized
computer machine, comprising: a non-transient memory having at
least one region for storing particular computer executable program
code; and at least one processor for executing the particular
program code stored in the memory, wherein the particular program
code is configured to at least perform the following operations:
electronically receive sensor data from the plurality of sensors
and user-specific data; dynamically determine a personalized
stimulation plan associated with the user based on the sensor data
and the user-specific data; dynamically activate, based on the
personalized stimulation plan of the user, a plurality of external
electrodes to deliver a treatment chosen from: at least one first
transcutaneous electrical nerve stimulation, at least one first
transcutaneous microcurrent electrical neuromuscular stimulation,
and an electric acupuncture application; wherein each of the
external electrodes is associated with a particular electrode
simulation location, a particular simulation frequency or
frequencies, a particular simulation pattern, a particular
simulation intensity, and a particular simulation duration; wherein
the personalized stimulation plan of the user is based, at least in
part, on an evaluation of at least one of the following for the
user: (i) the blood pressure, (ii) the brain activity pattern,
(iii) the sleeping pattern, (iv) an effectiveness of at least one
of the particular simulation frequency or simulation frequencies,
the particular simulation pattern, the particular simulation
intensity, and the particular simulation duration, (v) the medical
data of the user; (vi) the stress level data, (vii) the movement
pattern of the user, or (viii) the blood flow of the user.
13. The system of claim 12, wherein the particular program code is
further configured to at least perform: dynamically provide, to the
user, at least one of the following: (i) at least one physical
activity recommendation identifying at least one of: 1) a
recommended timing of at least one physical activity, 2) a
recommended intensity of the at least one physical activity, 3) a
recommended level of the at least one physical activity, or 4) a
recommended type of the at least one physical activity, (ii) at
least one food consumption recommendation identifying at least one
of: 1) a recommended time of food consumption or 2) a recommended
type of the food consumption; (iii) at least one relaxation
recommendation identifying at least one recommended relaxation
technique, or (iv) at least one nutritional supplements
recommendation identifying at least one recommended nutritional
supplement.
14. The system of claim 12, further comprising: at least one gaming
device configured to electronically receive at least one of the
sensor data or the personalized stimulation plan of the user; and
wherein the at least one gaming device is configured to dynamically
activate, based on the personalized stimulation plan of the user,
the plurality of external electrodes to deliver the treatment.
15. The system of claim 14, wherein the at least one gaming device
is a virtual reality gaming device.
16. The system of claim 15, further comprising a headband, a
wristband, or both.
17. The system of claim 16, wherein at least one external electrode
of the plurality of external electrodes is positioned in the
headband, the wristband, or both. wherein the headband, the
wristband, or both, comprise the plurality of sensors.
18. The system of claim 17, wherein the plurality of sensors
comprises at least two sensors chosen from: (i) the at least one
electroencephalography sensor, (ii) the at least one accelerometer
sensor, (iii) the at least one blood oxygen saturation sensor, (iv)
the at least one heart rate sensor, (v) the at least one pressure
sensor, (vi) the at least one temperature sensor, and (vii) the at
least one galvanic skin response sensor.
19. The system of claim 12, wherein the particular program code is
further configured to output, to the user, at least one
stress-reducing suggestion when the stress level of the user is
above a pre-determined stress threshold.
20. The system of claim 12, further comprising: enabling, by the
processor, the user to set at least one Trigger Event (TE) based on
at least one deviation from at least one pre-set biological
parameter, at least one pre-set mental parameter, or both; causing,
by the processor, a performance of at least one Suggested Action or
Automatic Action (SAC).
21. The system of claim 20, wherein the at least one deviation is
determined based at least in part on the sensor data.
22. The system of claim 20, wherein the at least one SAC is chosen
from: 1) activating the plurality of external electrodes to deliver
the treatment; 2) recommending at least one breathing exercise, 3)
recommending a music piece, 4) recommending at least one dietary
supplement, and 5) generating an assistance invoking alert to at
least one third party associated with the user.
Description
RELATED APPLICATIONS
[0001] This application is a continuation of U.S. patent
application Ser. No. 14/825,391, entitled "System and Method for
Lifestyle Management", which is a continuation of U.S. patent
application Ser. No. 14/205,980, entitled "System and Method for
Holistic Lifestyle Management", filed Mar. 12, 2014, which claims
the benefit of U.S. Provisional Application No. 61/776,910,
entitled "System And Method for Holistic Lifestyle Management,"
filed Mar. 12, 2013, U.S. Provisional Application No. 61/861,779,
entitled "System and Method for Personalized Use of
Electrostimulation" and U.S. Provisional Application No.
61/901,259, entitled "System and Method for Holistic Lifestyle
Management" filed Nov. 7, 2013, which are hereby incorporated by
reference herein in their entirety for all purposes.
TECHNICAL FIELD
[0002] The instant invention relates to system and methods of
lifestyle management.
BACKGROUND
[0003] Various methods of lifestyle management are known in the
art.
SUMMARY OF INVENTION
[0004] In some embodiments, the method is a computer-implemented
method, that includes receiving, by at least one specifically
programmed computer system, data from a plurality of sensors. In
some embodiments, the plurality of sensors comprises at least two
of the following: (i) an electroencephalography sensor; (ii) a
heart rate sensor; (iii) an accelerometer sensor configured to
detect movement; (iv) a blood oxygen saturation sensor; (v) a
pressure sensor; (vi) a temperature sensor; and (vii) a galvanic
skin response sensor configured for detecting perspiration. In some
embodiments, each of the plurality of sensors is positioned on a
wristband or a headband.
[0005] In some embodiments, the method includes determining, by the
at least one specifically programmed computer system, physiological
information associated with a user based, at least in part, on the
sensor data. In some embodiments, the physiological information
associated with the user comprises at least two of the following
(i) brain activity patterns during sleep, (ii) quantity of movement
during sleep, (iii) breathing depth and rate, (iv) blood pressure,
heart rate and stroke volume, (v) heart rate variability, (vi)
perspiration level, and (vii) stress level.
[0006] In some embodiments, the brain activity pattern is
determined, based at least in part, on data from the
electroencephalography sensor. In some embodiments, the quantity of
movement during sleep is determined, based at least in part, on
data from: (i) the electroencephalography sensor, (ii) the heart
rate sensor, and (iii) the accelerometer sensor.
[0007] In some embodiments, the breathing depth and rate is
determined, based at least in part, on data from the blood oxygen
saturation sensor. In some embodiments, the blood pressure, heart
rate and stroke volume is determined, based at least in part, on
data from: (i) the pressure sensor, (ii) the heart rate sensor, and
(iii) the blood oxygen saturation sensor.
[0008] In some embodiments, the perspiration level is determined,
based at least in part, on data from: (i) the temperature sensor
and (ii) the galvanic skin response sensor. In some embodiments,
the stress level is determined, based at least in part, on data
from: (i) the pressure sensor, (ii) the blood oxygen saturation
sensor, (iii) the heart rate sensor, and (iv) the accelerometer
sensor.
[0009] In some embodiments, the method includes evaluating, by the
at least one specifically programmed computer system, based at
least in part on the physiological information, at least one of the
following for the user: (i) sleep quality, (ii) potential for sleep
apnea, (iii) quality of physical activity, and (iv) need for stress
management.
[0010] In some embodiments, the method includes activating, by the
at least one specifically programmed computer system, a plurality
of electrodes positioned on the user. In some embodiments, the
plurality of electrodes are positioned on the user so as to result
in transcutaneous electrical nerve stimulation and/or microcurrent
electrical neuromuscular stimulation when the plurality of
electrodes are activated.
[0011] In some embodiments, the plurality of electrodes are
activated by the at least one specifically programmed computer
system based, at least in part, on the evaluation of the following
for the user: (i) sleep quality, (ii) potential for sleep apnea,
(iii) quality of physical activity and/or (iv) need for stress
management.
[0012] In some embodiments, the method further includes receiving,
by the at least one specifically programmed computer system, data
from the user comprising at least one of the following: (i)
nutritional data, (ii) sleep data, (iii) stress data, (iv) medical
data, and (v) exercise data.
[0013] In some embodiments, the plurality of electrodes are
activated by the at least one specifically programmed computer
system based, at least in part, on the user data.
[0014] In some embodiments, the method further includes providing
to the user, by the at least one specifically programmed computer
system, based, at least in part, on the evaluating, by the at least
one specifically programmed computer system, based at least in part
on the physiological information step, at least one of the
following: (i) recommended timing, intensity, level, and/or type of
physical activity to improve sleep quality; (ii) recommended time
and type of food consumption to improve sleep quality; (iii)
recommended relaxation techniques to reduce stress level; and (iv)
recommended nutritional supplements to improve sleep quality.
[0015] In some embodiments, the method further includes comparing,
by the at least one specifically programmed computer system, the
physiological information associated with the user to one or more
alarm levels to determine whether an alarm condition exists; and
contacting, by the at least one specifically programmed computer
system, the user, a family member of the user and/or a caregiver of
the user if the comparing step indicates the alarm condition
exists.
[0016] In some embodiments, the method includes a
computer-implemented method that includes receiving, by at least
one specifically programmed computer system, data from a plurality
of sensors. In some embodiments, the plurality of sensors comprises
at least two of the following: (i) an electroencephalography
sensor, (ii) a heart rate sensor, (iii) an accelerometer sensor
configured to detect movement, (iv) a blood oxygen saturation
sensor, (v) a pressure sensor, (vi) a temperature sensor, and (vii)
a galvanic skin response sensor configured for detecting
perspiration.
[0017] In some embodiments, the plurality of sensors are positioned
on a wristband or a headband. In some embodiments, the wristband
and the headband, if present, are in contact with a user.
[0018] In some embodiments, the method further includes
determining, by the at least one specifically programmed computer
system, physiological information associated with a user based, at
least in part, on the sensor data. In some embodiments, the
physiological information associated with the user comprises at
least two of the following: (i) brain activity patterns during
sleep, (ii) quantity of movement during sleep, (iii) breathing
depth and rate, (iv) blood pressure, heart rate and stroke volume,
(v) heart rate variability, (vi) perspiration level, and (vii)
stress level.
[0019] In some embodiments, the brain activity pattern is
determined, based at least in part, on data from the
electroencephalography sensor. In some embodiments, the quantity of
movement during sleep is determined, based at least in part, on
data from: (i) the electroencephalography sensor, (ii) the heart
rate sensor, and (iii) the accelerometer sensor.
[0020] In some embodiments, the breathing depth and rate is
determined, based at least in part, on data from the blood oxygen
saturation sensor. In some embodiments, the blood pressure, heart
rate and stroke volume is determined, based at least in part, on
data from: (i) the pressure sensor, (ii) the heart rate sensor, and
(iii) the blood oxygen saturation sensor.
[0021] In some embodiments, the perspiration level is determined,
based at least in part, on data from: (i) the temperature sensor
and (ii) the galvanic skin response sensor. In some embodiments,
the stress level is determined, based at least in part, on data
from: (i) the pressure sensor, (ii) the blood oxygen saturation
sensor, (iii) the heart rate sensor and (iv) the accelerometer
sensor. In some embodiments, the method further includes
evaluating, by the at least one specifically programmed computer
system, based at least in part on the physiological information, at
least one of the following for the user: (i) sleep quality, (ii)
potential for sleep apnea, (iii) quality of physical activity, and
(iv) need for stress management.
[0022] In some embodiments, the method includes providing to the
user, by the at least one specifically programmed computer system,
based, at least in part, on the evaluating, by the at least one
specifically programmed computer system, based at least in part on
the determination of the physiological information, step, at least
one of the following: (i) recommended timing, intensity, level,
and/or type of physical activity to improve sleep quality, (ii)
recommended time and type of food consumption to improve sleep
quality, (iii) recommended relaxation techniques to reduce stress
level, and (iv) recommended nutritional supplements to improve
sleep quality.
[0023] In some embodiments, the method further includes activating,
by the at least one specifically programmed computer system, a
plurality of electrodes positioned on the user. In some
embodiments, the plurality of electrodes are positioned on the user
so as to result in transcutaneous electrical nerve stimulation
and/or microcurrent electrical neuromuscular stimulation when the
plurality of electrodes are activated. In some embodiments, the
plurality of electrodes are activated by the at least one
specifically programmed computer system based, at least in part, on
the evaluation of the following for the user: (i) sleep quality,
(ii) potential for sleep apnea, (iii) quality of physical activity
and/or (iv) need for stress management.
[0024] In some embodiments, the method further includes receiving,
by the at least one specifically programmed computer system, data
from the user comprising at least one of the following: (i)
nutritional data, (ii) sleep data, (iii) stress data, (iv) medical
data, and (v) exercise data. In some embodiments, the plurality of
electrodes are activated by the at least one specifically
programmed computer system based, at least in part, on the user
data.
[0025] In some embodiments, the method further includes comparing,
by the at least one specifically programmed computer system, the
physiological information associated with the user to one or more
alarm levels to determine whether an alarm condition exists. In
some embodiments, the method further includes contacting, by the at
least one specifically programmed computer system, the user, a
family member of the user and/or a caregiver of the user if the
comparing step indicates the alarm condition exists.
[0026] In some embodiments, the system includes a plurality of
sensors comprising at least two of the following (i) an
electroencephalography sensor, (ii) a heart rate sensor, (iii) an
accelerometer sensor configured to detect movement, (iv) a blood
oxygen saturation sensor, (v) a pressure sensor, (vi) a temperature
sensor, and (vii) a galvanic skin response sensor configured for
detecting perspiration. In some embodiments, the system includes a
plurality of electrodes.
[0027] In some embodiments, each electrode is configured to provide
transcutaneous electrical nerve stimulation and/or microcurrent
electrical neuromuscular stimulation to a user. In some
embodiments, the system includes at least one specialized computer
machine that includes a non-transient memory having at least one
region for storing particular computer executable program code and
at least one processor for executing the particular program code
stored in the memory.
[0028] In some embodiments, the particular program code is
configured to at least perform the following operations: receiving
data from the plurality of sensors and determining physiological
information associated with a user based, at least in part, on the
sensor data. In some embodiments, the physiological information
associated with the user comprises at least two of the following:
(i) brain activity patterns during sleep, (ii) quantity of movement
during sleep, (iii) breathing depth and rate, (iv) blood pressure,
heart rate and stroke volume, (v) heart rate variability, (vi)
perspiration level, and (vii) stress level.
[0029] In some embodiments, the brain activity pattern is
determined, based at least in part, on data from the
electroencephalography sensor. In some embodiments, the quantity of
movement during sleep is determined, based at least in part, on
data from: (i) the electroencephalography sensor, (ii) the heart
rate sensor, and (iii) the accelerometer sensor.
[0030] In some embodiments, the breathing depth and rate is
determined, based at least in part, on data from the blood oxygen
saturation sensor. In some embodiments, the blood pressure, heart
rate and stroke volume is determined, based at least in part, on
data from: (i) the pressure sensor, (ii) the heart rate sensor, and
(iii) the blood oxygen saturation sensor.
[0031] In some embodiments, the perspiration level is determined,
based at least in part, on data from: (i) the temperature sensor
and (ii) the galvanic skin response sensor. In some embodiments,
the stress level is determined, based at least in part, on data
from: (i) the pressure sensor, (ii) the blood oxygen saturation
sensor, (iii) the heart rate sensor, and (iv) the accelerometer
sensor.
[0032] In some embodiments, the particular program code is
configured to at least perform evaluating, based at least in part
on the physiological information, at least one of the following for
the user: (i) sleep quality, (ii) potential for sleep apnea, (iii)
quality of physical activity, and (iv) need for stress
management.
[0033] In some embodiments, the particular program code is
configured to at least perform activating the plurality of
electrodes positioned on the user. In some embodiments, the
plurality of electrodes are positioned on the user so as to result
in transcutaneous electrical nerve stimulation and/or microcurrent
electrical neuromuscular stimulation when the plurality of
electrodes are activated. In some embodiments, the plurality of
electrodes are activated by the at least one specifically
programmed computer system based, at least in part, on the
evaluation of the following for the user: (i) sleep quality, (ii)
potential for sleep apnea, (iii) quality of physical activity
and/or (iv) need for stress management.
[0034] In some embodiments, the system further includes a gaming
device configured to receive data from the plurality of sensors. In
some embodiments, the gaming device is a virtual reality gaming
device.
[0035] In some embodiments, the system further includes a headband,
a wristband or both. In some embodiments, the plurality of sensors
are positioned on the headband or the wristband or both. In some
embodiments, each of the plurality of sensors, if present, is
positioned as follows: (i) the electroencephalography sensor on the
headband, (ii) the accelerometer sensor on the headband and/or the
wristband, (iii) the blood oxygen saturation sensor on the
wristband, (iv) the heart rate sensor on the headband, (v) the
pressure sensor on the wristband, (vi) the temperature sensor on
the headband, and (vii) the galvanic skin response sensor on the
headband.
[0036] In some embodiments, the particular program code is further
configured to at least perform the following operations: receiving,
by the at least one specifically programmed computer system, data
from the user comprising at least one of the following: (i)
nutritional data, (ii) sleep data, (iii) stress data, (iv) medical
data, and (v) exercise data.
[0037] In some embodiments, the particular program code is further
configured to at least perform the following operations: providing
to the user, by the at least one specifically programmed computer
system, based, at least in part, on the evaluating, by the at least
one specifically programmed computer system, based at least in part
on the physiological information step, at least one of the
following: (i) recommended timing, intensity, level, and/or type of
physical activity to improve sleep quality, (ii) recommended time
and type of food consumption to improve sleep quality, (iii)
recommended relaxation techniques to reduce stress level, and (iv)
recommended nutritional supplements to improve sleep quality.
[0038] In some embodiments, the particular program code is further
configured to at least perform the following operations: comparing,
by the at least one specifically programmed computer system, the
physiological information associated with the user to one or more
alarm levels to determine whether an alarm condition exists; and
contacting, by the at least one specifically programmed computer
system, the user, a family member of the user and/or a caregiver of
the user if the comparing step indicates the alarm condition
exists.
[0039] In some embodiments, the system is a programmed computer
that includes: memory having at least one region for storing
computer executable program code; and a processor for executing the
program code stored in the memory. In some embodiments, the program
code includes: code to receive data from a plurality of sensors. In
some embodiments, the plurality of sensors comprising at least two
of the following: (i) an electroencephalography sensor, (ii) a
heart rate sensor, (iii) an accelerometer sensor configured to
detect movement, (iv) a blood oxygen saturation sensor, (v) a
pressure sensor, (vi) a temperature sensor, and (vii) a galvanic
skin response sensor configured for detecting perspiration.
[0040] In some embodiments, the program code includes code to
determine physiological information associated with a user based,
at least in part, on the sensor data. In some embodiments, the
physiological information associated with the user comprises at
least two of the following: (i) brain activity patterns during
sleep, (ii) quantity of movement during sleep, (iii) breathing
depth and rate, (iv) blood pressure, heart rate and stroke volume,
(v) heart rate variability, (vi) perspiration level, and (vii)
stress level.
[0041] In some embodiments, the brain activity pattern is
determined, based at least in part, on data from the
electroencephalography sensor. In some embodiments, the quantity of
movement during sleep is determined, based at least in part, on
data from: (i) the electroencephalography sensor, (ii) the heart
rate sensor, and (iii) the accelerometer sensor.
[0042] In some embodiments, the breathing depth and rate is
determined, based at least in part, on data from the blood oxygen
saturation sensor.
[0043] In some embodiments, the blood pressure, heart rate and
stroke volume is determined, based at least in part, on data from:
(i) the pressure sensor, (ii) the heart rate sensor, and (iii) the
blood oxygen saturation sensor.
[0044] In some embodiments, the perspiration level is determined,
based at least in part, on data from: (i) the temperature sensor
and (ii) the galvanic skin response sensor.
[0045] In some embodiments, the stress level is determined, based
at least in part, on data from: (i) the pressure sensor, (ii) the
blood oxygen saturation sensor, (iii) the heart rate sensor, and
(iv) the accelerometer sensor. In some embodiments, the program
code includes code to evaluate, based at least in part on the
physiological information, at least one of the following for the
user: (i) sleep quality, (ii) potential for sleep apnea, (iii)
quality of physical activity, and (iv) need for stress
management.
[0046] In some embodiments, the program code includes code to
provide to the user, based, at least in part, on the evaluation,
based at least in part on the physiological information, at least
one of the following: (i) recommended timing, intensity, level,
and/or type of physical activity to improve sleep quality, (ii)
recommended time and type of food consumption to improve sleep
quality, (iii) recommended relaxation techniques to reduce stress
level, and (iv) recommended nutritional supplements to improve
sleep quality.
BRIEF DESCRIPTION OF THE DRAWINGS
[0047] The present invention will be further explained with
reference to the attached drawings, wherein like structures are
referred to by like numerals throughout the several views. The
drawings shown are not necessarily to scale, with emphasis instead
generally being placed upon illustrating the principles of the
present invention. Further, some features may be exaggerated to
show details of particular components.
[0048] FIG. 1 illustrates features of some embodiments of the
present invention.
[0049] FIG. 2 illustrates features of some embodiments of the
present invention.
[0050] FIG. 3 illustrates features of some embodiments of the
present invention.
[0051] FIG. 4 illustrates features of some embodiments of the
present invention.
[0052] FIG. 5 illustrates features of some embodiments of the
present invention.
[0053] FIG. 6 illustrates features of some embodiments of the
present invention.
[0054] FIG. 7 illustrates features of some embodiments of the
present invention.
[0055] FIG. 8 illustrates features of some embodiments of the
present invention.
[0056] FIG. 9 illustrates features of some embodiments of the
present invention.
[0057] FIG. 10 illustrates features of some embodiments of the
present invention.
[0058] FIG. 11 illustrates features of some embodiments of the
present invention.
[0059] FIG. 12 illustrates features of some embodiments of the
present invention.
[0060] FIG. 13 illustrates features of some embodiments of the
present invention.
[0061] FIG. 14 illustrates features of some embodiments of the
present invention.
[0062] FIG. 15 illustrates features of some embodiments of the
present invention.
[0063] FIG. 16 illustrates features of some embodiments of the
present invention.
[0064] FIG. 17 illustrates features of some embodiments of the
present invention.
[0065] FIG. 18 illustrates features of some embodiments of the
present invention.
[0066] The figures constitute a part of this specification and
include illustrative embodiments of the present invention and
illustrate various objects and features thereof. Further, the
figures are not necessarily to scale, some to features may be
exaggerated show details of particular components. In addition, any
measurements, specifications and the like shown in the figures are
intended to be illustrative, and not restrictive. Therefore,
specific structural and functional details disclosed herein are not
to be interpreted as limiting, but merely as a representative basis
for teaching one skilled in the art to variously employ the present
invention.
DETAILED DESCRIPTION
[0067] The present invention will be further explained with
reference to the attached drawings, wherein like structures are
referred to by like numerals throughout the several views. The
drawings shown are not necessarily to scale, with emphasis instead
generally being placed upon illustrating the principles of the
present invention. Further, some features may be exaggerated to
show details of particular components.
[0068] The figures constitute a part of this specification and
include illustrative embodiments of the present invention and
illustrate various objects and features thereof. Further, the
figures are not necessarily to scale, some features may be
exaggerated to show details of particular components. In addition,
any measurements, specifications and the like shown in the figures
are intended to be illustrative, and not restrictive. Therefore,
specific structural and functional details disclosed herein are not
to be interpreted as limiting, but merely as a representative basis
for teaching one skilled in the art to variously employ the present
invention.
[0069] Among those benefits and improvements that have been
disclosed, other objects and advantages of this invention will
become apparent from the following description taken in conjunction
with the accompanying figures. Detailed embodiments of the present
invention are disclosed herein; however, it is to be understood
that the disclosed embodiments are merely illustrative of the
invention that may be embodied in various forms. In addition, each
of the examples given in connection with the various embodiments of
the invention which are intended to be illustrative, and not
restrictive.
[0070] Throughout the specification and claims, the following terms
take the meanings explicitly associated herein, unless the context
clearly dictates otherwise. The phrases "in one embodiment" and "in
some embodiments" as used herein do not necessarily refer to the
same embodiment(s), though it may. Furthermore, the phrases "in
another embodiment" and "in some other embodiments" as used herein
do not necessarily refer to a different embodiment, although it
may. Thus, as described below, various embodiments of the invention
may be readily combined, without departing from the scope or spirit
of the invention.
[0071] In addition, as used herein, the term "or" is an inclusive
"or" operator, and is equivalent to the term "and/or," unless the
context clearly dictates otherwise. The term "based on" is not
exclusive and allows for being based on additional factors not
described, unless the context clearly dictates otherwise. In
addition, throughout the specification, the meaning of "a," "an,"
and "the" include plural references. The meaning of "in" includes
"in" and "on."
[0072] In some embodiments, the method is a computer-implemented
method, that includes receiving, by at least one specifically
programmed computer system, data from a plurality of sensors. In
some embodiments, the plurality of sensors comprises at least two
of the following: (i) an electroencephalography sensor; (ii) a
heart rate sensor; (iii) an accelerometer sensor configured to
detect movement; (iv) a blood oxygen saturation sensor; (v) a
pressure sensor; (vi) a temperature sensor; and (vii) a galvanic
skin response sensor configured for detecting perspiration. In some
embodiments, each of the plurality of sensors is positioned on a
wristband or a headband.
[0073] In some embodiments, the method includes determining, by the
at least one specifically programmed computer system, physiological
information associated with a user based, at least in part, on the
sensor data. In some embodiments, the physiological information
associated with the user comprises at least two of the following
(i) brain activity patterns during sleep, (ii) quantity of movement
during sleep, (iii) breathing depth and rate, (iv) blood pressure,
heart rate and stroke volume, (v) heart rate variability, (vi)
perspiration level, and (vii) stress level.
[0074] In some embodiments, the brain activity pattern is
determined, based at least in part, on data from the
electroencephalography sensor. In some embodiments, the quantity of
movement during sleep is determined, based at least in part, on
data from: (i) the electroencephalography sensor, (ii) the heart
rate sensor, and (iii) the accelerometer sensor.
[0075] In some embodiments, the breathing depth and rate is
determined, based at least in part, on data from the blood oxygen
saturation sensor. In some embodiments, the blood pressure, heart
rate and stroke volume is determined, based at least in part, on
data from: (i) the pressure sensor, (ii) the heart rate sensor, and
(iii) the blood oxygen saturation sensor.
[0076] In some embodiments, the perspiration level is determined,
based at least in part, on data from: (i) the temperature sensor
and (ii) the galvanic skin response sensor. In some embodiments,
the stress level is determined, based at least in part, on data
from: (i) the pressure sensor, (ii) the blood oxygen saturation
sensor, (iii) the heart rate sensor, and (iv) the accelerometer
sensor.
[0077] In some embodiments, the method includes evaluating, by the
at least one specifically programmed computer system, based at
least in part on the physiological information, at least one of the
following for the user: (i) sleep quality, (ii) potential for sleep
apnea, (iii) quality of physical activity, and (iv) need for stress
management.
[0078] In some embodiments, the method includes activating, by the
at least one specifically programmed computer system, a plurality
of electrodes positioned on the user. In some embodiments, the
plurality of electrodes are positioned on the user so as to result
in transcutaneous electrical nerve stimulation and/or microcurrent
electrical neuromuscular stimulation when the plurality of
electrodes are activated.
[0079] In some embodiments, the plurality of electrodes are
activated by the at least one specifically programmed computer
system based, at least in part, on the evaluation of the following
for the user: (i) sleep quality, (ii) potential for sleep apnea,
(iii) quality of physical activity and/or (iv) need for stress
management.
[0080] In some embodiments, the method further includes receiving,
by the at least one specifically programmed computer system, data
from the user comprising at least one of the following: (i)
nutritional data, (ii) sleep data, (iii) stress data, (iv) medical
data, and (v) exercise data.
[0081] In some embodiments, the plurality of electrodes are
activated by the at least one specifically programmed computer
system based, at least in part, on the user data.
[0082] In some embodiments, the method further includes providing
to the user, by the at least one specifically programmed computer
system, based, at least in part, on the evaluating, by the at least
one specifically programmed computer system, based at least in part
on the physiological information step, at least one of the
following: (i) recommended timing, intensity, level, and/or type of
physical activity to improve sleep quality; (ii) recommended time
and type of food consumption to improve sleep quality; (iii)
recommended relaxation techniques to reduce stress level; and (iv)
recommended nutritional supplements to improve sleep quality.
[0083] In some embodiments, the method further includes comparing,
by the at least one specifically programmed computer system, the
physiological information associated with the user to one or more
alarm levels to determine whether an alarm condition exists; and
contacting, by the at least one specifically programmed computer
system, the user, a family member of the user and/or a caregiver of
the user if the comparing step indicates the alarm condition
exists.
[0084] In some embodiments, the method includes a
computer-implemented method that includes receiving, by at least
one specifically programmed computer system, data from a plurality
of sensors. In some embodiments, the plurality of sensors comprises
at least two of the following: (i) an electroencephalography
sensor, (ii) a heart rate sensor, (iii) an accelerometer sensor
configured to detect movement, (iv) a blood oxygen saturation
sensor, (v) a pressure sensor, (vi) a temperature sensor, and (vii)
a galvanic skin response sensor configured for detecting
perspiration.
[0085] In some embodiments, the plurality of sensors are positioned
on a wristband or a headband. In some embodiments, the wristband
and the headband, if present, are in contact with a user.
[0086] In some embodiments, the method further includes
determining, by the at least one specifically programmed computer
system, physiological information associated with a user based, at
least in part, on the sensor data. In some embodiments, the
physiological information associated with the user comprises at
least two of the following: (i) brain activity patterns during
sleep, (ii) quantity of movement during sleep, (iii) breathing
depth and rate, (iv) blood pressure, heart rate and stroke volume,
(v) heart rate variability, (vi) perspiration level, and (vii)
stress level.
[0087] In some embodiments, the brain activity pattern is
determined, based at least in part, on data from the
electroencephalography sensor. In some embodiments, the quantity of
movement during sleep is determined, based at least in part, on
data from: (i) the electroencephalography sensor, (ii) the heart
rate sensor, and (iii) the accelerometer sensor.
[0088] In some embodiments, the breathing depth and rate is
determined, based at least in part, on data from the blood oxygen
saturation sensor. In some embodiments, the blood pressure, heart
rate and stroke volume is determined, based at least in part, on
data from: (i) the pressure sensor, (ii) the heart rate sensor, and
(iii) the blood oxygen saturation sensor.
[0089] In some embodiments, the perspiration level is determined,
based at least in part, on data from: (i) the temperature sensor
and (ii) the galvanic skin response sensor. In some embodiments,
the stress level is determined, based at least in part, on data
from: (i) the pressure sensor, (ii) the blood oxygen saturation
sensor, (iii) the heart rate sensor and (iv) the accelerometer
sensor. In some embodiments, the method further includes
evaluating, by the at least one specifically programmed computer
system, based at least in part on the physiological information, at
least one of the following for the user: (i) sleep quality, (ii)
potential for sleep apnea, (iii) quality of physical activity, and
(iv) need for stress management.
[0090] In some embodiments, the method includes providing to the
user, by the at least one specifically programmed computer system,
based, at least in part, on the evaluating, by the at least one
specifically programmed computer system, based at least in part on
the determination of the physiological information, step, at least
one of the following: (i) recommended timing, intensity, level,
and/or type of physical activity to improve sleep quality, (ii)
recommended time and type of food consumption to improve sleep
quality, (iii) recommended relaxation techniques to reduce stress
level, and (iv) recommended nutritional supplements to improve
sleep quality.
[0091] In some embodiments, the method further includes activating,
by the at least one specifically programmed computer system, a
plurality of electrodes positioned on the user. In some
embodiments, the plurality of electrodes are positioned on the user
so as to result in transcutaneous electrical nerve stimulation
and/or microcurrent electrical neuromuscular stimulation when the
plurality of electrodes are activated. In some embodiments, the
plurality of electrodes are activated by the at least one
specifically programmed computer system based, at least in part, on
the evaluation of the following for the user: (i) sleep quality,
(ii) potential for sleep apnea, (iii) quality of physical activity
and/or (iv) need for stress management.
[0092] In some embodiments, the method further includes receiving,
by the at least one specifically programmed computer system, data
from the user comprising at least one of the following: (i)
nutritional data, (ii) sleep data, (iii) stress data, (iv) medical
data, and (v) exercise data. In some embodiments, the plurality of
electrodes are activated by the at least one specifically
programmed computer system based, at least in part, on the user
data.
[0093] In some embodiments, the method further includes comparing,
by the at least one specifically programmed computer system, the
physiological information associated with the user to one or more
alarm levels to determine whether an alarm condition exists. In
some embodiments, the method further includes contacting, by the at
least one specifically programmed computer system, the user, a
family member of the user and/or a caregiver of the user if the
comparing step indicates the alarm condition exists.
[0094] In some embodiments, the system includes a plurality of
sensors comprising at least two of the following (i) an
electroencephalography sensor, (ii) a heart rate sensor, (iii) an
accelerometer sensor configured to detect movement, (iv) a blood
oxygen saturation sensor, (v) a pressure sensor, (vi) a temperature
sensor, and (vii) a galvanic skin response sensor configured for
detecting perspiration. In some embodiments, the system includes a
plurality of electrodes.
[0095] In some embodiments, each electrode is configured to provide
transcutaneous electrical nerve stimulation and/or microcurrent
electrical neuromuscular stimulation to a user. In some
embodiments, the system includes at least one specialized computer
machine that includes a non-transient memory having at least one
region for storing particular computer executable program code and
at least one processor for executing the particular program code
stored in the memory.
[0096] In some embodiments, the particular program code is
configured to at least perform the following operations: receiving
data from the plurality of sensors and determining physiological
information associated with a user based, at least in part, on the
sensor data. In some embodiments, the physiological information
associated with the user comprises at least two of the following:
(i) brain activity patterns during sleep, (ii) quantity of movement
during sleep, (iii) breathing depth and rate, (iv) blood pressure,
heart rate and stroke volume, (v) heart rate variability, (vi)
perspiration level, and (vii) stress level.
[0097] In some embodiments, the brain activity pattern is
determined, based at least in part, on data from the
electroencephalography sensor. In some embodiments, the quantity of
movement during sleep is determined, based at least in part, on
data from: (i) the electroencephalography sensor, (ii) the heart
rate sensor, and (iii) the accelerometer sensor.
[0098] In some embodiments, the breathing depth and rate is
determined, based at least in part, on data from the blood oxygen
saturation sensor. In some embodiments, the blood pressure, heart
rate and stroke volume is determined, based at least in part, on
data from: (i) the pressure sensor, (ii) the heart rate sensor, and
(iii) the blood oxygen saturation sensor.
[0099] In some embodiments, the perspiration level is determined,
based at least in part, on data from: (i) the temperature sensor
and (ii) the galvanic skin response sensor. In some embodiments,
the stress level is determined, based at least in part, on data
from: (i) the pressure sensor, (ii) the blood oxygen saturation
sensor, (iii) the heart rate sensor, and (iv) the accelerometer
sensor.
[0100] In some embodiments, the particular program code is
configured to at least perform evaluating, based at least in part
on the physiological information, at least one of the following for
the user: (i) sleep quality, (ii) potential for sleep apnea, (iii)
quality of physical activity, and (iv) need for stress
management.
[0101] In some embodiments, the particular program code is
configured to at least perform activating the plurality of
electrodes positioned on the user. In some embodiments, the
plurality of electrodes are positioned on the user so as to result
in transcutaneous electrical nerve stimulation and/or microcurrent
electrical neuromuscular stimulation when the plurality of
electrodes are activated. In some embodiments, the plurality of
electrodes are activated by the at least one specifically
programmed computer system based, at least in part, on the
evaluation of the following for the user: (i) sleep quality, (ii)
potential for sleep apnea, (iii) quality of physical activity
and/or (iv) need for stress management.
[0102] In some embodiments, the system further includes a gaming
device configured to receive data from the plurality of sensors. In
some embodiments, the gaming device is a virtual reality gaming
device.
[0103] In some embodiments, the system further includes a headband,
a wristband or both. In some embodiments, the plurality of sensors
are positioned on the headband or the wristband or both. In some
embodiments, each of the plurality of sensors, if present, is
positioned as follows: (i) the electroencephalography sensor on the
headband, (ii) the accelerometer sensor on the headband and/or the
wristband, (iii) the blood oxygen saturation sensor on the
wristband, (iv) the heart rate sensor on the headband, (v) the
pressure sensor on the wristband, (vi) the temperature sensor on
the headband, and (vii) the galvanic skin response sensor on the
headband.
[0104] In some embodiments, the particular program code is further
configured to at least perform the following operations: receiving,
by the at least one specifically programmed computer system, data
from the user comprising at least one of the following: (i)
nutritional data, (ii) sleep data, (iii) stress data, (iv) medical
data, and (v) exercise data.
[0105] In some embodiments, the particular program code is further
configured to at least perform the following operations: providing
to the user, by the at least one specifically programmed computer
system, based, at least in part, on the evaluating, by the at least
one specifically programmed computer system, based at least in part
on the physiological information step, at least one of the
following: (i) recommended timing, intensity, level, and/or type of
physical activity to improve sleep quality, (ii) recommended time
and type of food consumption to improve sleep quality, (iii)
recommended relaxation techniques to reduce stress level, and (iv)
recommended nutritional supplements to improve sleep quality.
[0106] In some embodiments, the particular program code is further
configured to at least perform the following operations: comparing,
by the at least one specifically programmed computer system, the
physiological information associated with the user to one or more
alarm levels to determine whether an alarm condition exists; and
contacting, by the at least one specifically programmed computer
system, the user, a family member of the user and/or a caregiver of
the user if the comparing step indicates the alarm condition
exists.
[0107] In some embodiments, the system is a programmed computer
that includes: memory having at least one region for storing
computer executable program code; and a processor for executing the
program code stored in the memory. In some embodiments, the program
code includes: code to receive data from a plurality of sensors. In
some embodiments, the plurality of sensors comprising at least two
of the following: (i) an electroencephalography sensor, (ii) a
heart rate sensor, (iii) an accelerometer sensor configured to
detect movement, (iv) a blood oxygen saturation sensor, (v) a
pressure sensor, (vi) a temperature sensor, and (vii) a galvanic
skin response sensor configured for detecting perspiration.
[0108] In some embodiments, the program code includes code to
determine physiological information associated with a user based,
at least in part, on the sensor data. In some embodiments, the
physiological information associated with the user comprises at
least two of the following: (i) brain activity patterns during
sleep, (ii) quantity of movement during sleep, (iii) breathing
depth and rate, (iv) blood pressure, heart rate and stroke volume,
(v) heart rate variability, (vi) perspiration level, and (vii)
stress level.
[0109] In some embodiments, the brain activity pattern is
determined, based at least in part, on data from the
electroencephalography sensor. In some embodiments, the quantity of
movement during sleep is determined, based at least in part, on
data from: (i) the electroencephalography sensor, (ii) the heart
rate sensor, and (iii) the accelerometer sensor.
[0110] In some embodiments, the breathing depth and rate is
determined, based at least in part, on data from the blood oxygen
saturation sensor.
[0111] In some embodiments, the blood pressure, heart rate and
stroke volume is determined, based at least in part, on data from:
(i) the pressure sensor, (ii) the heart rate sensor, and (iii) the
blood oxygen saturation sensor.
[0112] In some embodiments, the perspiration level is determined,
based at least in part, on data from: (i) the temperature sensor
and (ii) the galvanic skin response sensor.
[0113] In some embodiments, the stress level is determined, based
at least in part, on data from: (i) the pressure sensor, (ii) the
blood oxygen saturation sensor, (iii) the heart rate sensor, and
(iv) the accelerometer sensor. In some embodiments, the program
code includes code to evaluate, based at least in part on the
physiological information, at least one of the following for the
user: (i) sleep quality, (ii) potential for sleep apnea, (iii)
quality of physical activity, and (iv) need for stress
management.
[0114] In some embodiments, the program code includes code to
provide to the user, based, at least in part, on the evaluation,
based at least in part on the physiological information, at least
one of the following: (i) recommended timing, intensity, level,
and/or type of physical activity to improve sleep quality, (ii)
recommended time and type of food consumption to improve sleep
quality, (iii) recommended relaxation techniques to reduce stress
level, and (iv) recommended nutritional supplements to improve
sleep quality.
[0115] In some embodiments, the present invention is a lifestyle
and clinical management system that provides a holistic approach
for maintaining a healthy lifestyle. In some embodiments, the
present invention focuses on nutrition, physical activity and
stress/emotional management. In some embodiments, the present
invention further offers tailored programs and/or neuro and/or
biofeedback that are based on various parameter and monitored
elements.
[0116] In some embodiments, the system and method for managing well
being and optimizing health may include, but is not limited to,
receiving inputs from various sources, such as sensors data, manual
feed, medical records, motion camera (kinetics), audio signals,
other system users in the close vicinity, as well as additional
inputs form other 3rd party developers that interface to the
system. In some embodiments the system and method may include
processing and integrating the inputs to create outputs that may
include, but are not limited to, personal plans for nutrition,
physical activity, rehabilitation, medication follow-up and
monitoring and enhancing the implementation of the plans using feed
backs and alerts.
[0117] In some embodiments, an output of the method and system
includes providing stimulation using the Transcutaneous electrical
nerve stimulation (TENS), the use of electric current produced by a
device to stimulate the nerves for therapeutic purposes and
Electrical muscle stimulation (EMS), also known as neuromuscular
electrical stimulation (NMES) or electromyostimulation, the
elicitation of muscle contraction using electric impulses for
reward, therapy, relaxation and creation of sensation.
[0118] TENS is the use of electric current produced by a device to
stimulate the nerves for therapeutic purposes. TENS may include the
complete range of transcutaneously applied currents used for nerve
excitation and specifically may include pulses produced by portable
stimulators used to treat pain. In some embodiments, the TENS unit
is connected to the skin using two or more electrodes. In some
embodiments, a battery-operated TENS unit is able to modulate pulse
width, frequency and intensity. In some embodiments, TENS may be
applied at high frequency (>50 Hz) with an intensity below motor
contraction (sensory intensity) or low frequency (<10 Hz) with
an intensity that produces motor contraction.
[0119] In some embodiments, MENS uses small electrical currents for
pain relief and/or healing of body tissues. MENS differs from TENS
in the amount of current used in the therapy. For example, TENS
devices may deliver currents up to 80 milliamps compared with about
8 milliamps for MENS. In some embodiments, MENS is conducted at 900
microamps or less. In some embodiments MENS is conducted at between
about 20 to 500 microamps.
[0120] FIGS. 1 and 2 illustrate embodiments of the present
invention. In some embodiments, FIGS. 1 and 2 show the cross
monitoring and the inputs and outputs of an embodiment of the
system.
[0121] In some embodiments, the system uses past and current
physiological and/or psychological data obtained in a noninvasive
manner that may result in a system configured to provide adjust, as
required, based on the data and provide biofeedback.
[0122] In some embodiments, the system includes components such as
sensors positioned on a headband and/or wristband. In some
embodiments, the system further includes algorithms and/or methods
of processing the signals from the sensors to extracting
information from the sensors and/or combination of sensors.
[0123] In some embodiments, the method includes application of
software configured to manipulate data including, but not limited
to, data received from the sensors. In some embodiments, the
software is configured for machine learning of the data collected
from the user.
[0124] In some embodiments, the present invention includes a system
and method for managing the well-being of a user for enhanced
quality of life. In some embodiments, the system inputs that may
include, but are not limited to, data from the one or more sensors,
manual feedback data such as nutritional data provided by a user,
and other data related to different aspects of well being and
enhanced quality. In some embodiments, the system is a unified
platform for managing the different aspects of well being and
enhanced quality of life.
[0125] In some embodiments, the system and method includes mental,
physical and/or nutrition management. In some embodiments, the
factors associated with mental management may include, but are not
limited to, sleep, stress, emotions, alertness and/or attention. In
some embodiments, the factors associated with physical management
include, but are not limited to, cardio/hemodynamic, respiration,
body strength and/or endurance. In some embodiments, factors
associated with nutritional management may include, but are not
limited to, food intake, time and/or composition intake. In a
non-limiting example, composition intake may include separating
between proteins to be taken after physical exercise and
carbohydrates which should be taken before the physical
exercise.
[0126] In some embodiments, the system and method may include cross
platform monitoring. In some embodiments, the cross platform
monitoring may include, but is not limited to, relating the data
related to nutritional management such as what the user ate and
when to the user's quality of sleep. In some embodiments, the
system and method provides feedback to a user based on
interpretation of the various types of data to improve, for
example, the quality of sleep.
[0127] In some embodiments, the system may include a cognitive
vital signs monitor configured to collect the physiological
parameters from a single band of sensors positioned on a user's
head. In some embodiments, the single band of sensors positioned on
the head is configured to collect physiological vital signs along
with monitoring of brain activity.
[0128] In some embodiments, the algorithms and/or methods of signal
processing for extracting information from the sensors or sensors
combination are shown in the following non-limiting examples shown
in Table 1.
TABLE-US-00001 TABLE 1 Sensor Location Output Purpose EEG Headband
Brain activity patterns Sleep quality analysis during sleep EEG +
Headband Brain activity patterns + Sleep quality analysis
Accelerometer movement during sleep Accelerometer
Wristband/Headband movement during sleep Sleep quality analysis
SPO2 Wristband Breath wave Sleep apnea detection SPO2 Wristband
Breath wave Monitor breath depth and rate (to detect shallow
breathing patterns or improve meditation breathing) Pressure
sensors + Wristband Blood pressure, heart Optimization of physical
SPO2 rate, stroke volume activity Temperature and Headband pressure
(skin sweat Stress management GSR when the environment
(perspiration) temp is normal may indicate stress) Pressure sensors
+ Wristband Stress (Increased heart Stress management SPO2 +
activity at rest may accelerometer- indicate stress) TENS
Electrodes bio feedback Gaming and emotion communication
[0129] In some embodiments, the present invention addresses
lifestyle factors such as stress, excessive eating, etc. are
related to and thus can affect health such as adverse affects on
the heart.
[0130] In some embodiments, the present invention includes a
personalized system and apparatus for improving at least one aspect
of user's lifestyle based, at least in part, on observations of
other aspects of the user's lifestyle. In some embodiments, the
method includes improving sleep quality based, at least in part, on
selection of the optimum intensity and time of physical activity
and/or based, at least in part, on selection of optimized nutrition
and optimum timing of meals.
[0131] In some embodiments, the method includes improving physical
activity performance based, at least in part, on improving the
quality of the nutrition of the individual. In a non-limiting
example, the time, quantity and contents of meals may be selected
based on the user's digestion and food absorption capabilities.
[0132] In some embodiments, the method includes improving stress
and/or alertness levels based, at least in part, on selection of
the optimum nutrition such as time and contents and/or based, at
least in part, on selecting the optimum physical activity levels
and/or activity times.
[0133] In some embodiments, the user may contact one or more
sensors configured to measure one or more of the following
physiological parameters: temperature, GSR, heart rate and heart
rate variability, pulse oximetry, and/or brain activity indicating
the level of alertness, concentration, and/or the quality of
sleep.
[0134] In some embodiments, the system includes a method for
improving sleep quality. In some embodiments, the method includes
recording one or more of the following: bedtime, the time of
falling asleep, and/or the sleep quality. In some embodiments, the
present invention analyzes the recorded information along with one
or more components such as the time and/or intensity of a prior
physical activity, and/or the time, food contents and/or food
amounts consumed during the day. In some embodiments, the system
and method analyzes the information and then provides, based at
least in part, on the analysis, the optimum times and intensity of
physical activity that would result in improved sleep quality.
"Sleep quality" is defined, in this example, as a combination
between the level of sleep and the time it took to fall asleep.
[0135] In some embodiments, the system and method may recommend
optimum times for physical training, optimum levels of physical
training and/or optimum type of physical training based, at least
in part, on the analysis of the recorded information. In some
embodiments, the recommendations may be further amended based on
additional recorded information and analysis including information
related to sleep quality.
[0136] In some embodiments, the nutritional aspect may be analyzed
in a manner similar to that described above with respect to the
physical activity. In some embodiments, the system and method may
include analysis of a user's nutritional information and recommend
optimum times for meals and food contents that correspond to
improved sleep quality.
[0137] In some embodiments, the system and method may include
improvement of physical activity based, at least in part, on
defining a measure for the quality of the physical activity (PAQ)
and then analyzing the measure with respect to the other lifestyle
parameters. In a non-limiting example, the system and method can
analyze the PAQ with respect to the time of food consumption and/or
contents before the physical activity to optimize body energy
levels.
[0138] In some embodiments, the system and method relate stress and
alertness with sleep quality and duration. In some embodiments, the
system and method includes monitoring of stress and alertness with
respect to the sleep quality of the previous night. In some
embodiments, the system and method will alert a user if a
relationship between stress and/or alertness and sleep quality is
identified. In some embodiments, if a simple sleep duration is
involved, the user will be informed about the optimal length of
sleep and/or other lifestyle parameters affecting the quality of
sleep will be evaluated as described in the examples above.
[0139] In some embodiments, data from the physiological sensors
will be collected from any known method of collecting data from
sensors.
[0140] In some embodiments, the present invention is a system for
vital signs monitoring. In some embodiments, the present invention
includes monitoring of the level of physical activity, the pulse
rate, the level of blood oxygen near the brain and the level of
brain activity may indicate the levels of cardiac activity and thus
provide an alert to a user.
[0141] In some embodiments, the method and system include detection
of emerging risk of brain injury. In some embodiments, the method
includes collection of concurrent cardiac activity (blood oxygen,
heart rate, and cardiac pulse), movement (via accelerometers) and
brain activity data.
[0142] In some embodiments, the method and system includes
collection of brain activity data from advanced filters applied on
EEG collected from a frontal electrode such as in the FPz location.
In some embodiments, the system and method correlate cardiac
activity and movement to characterize the cardiac activity at rest
and during physical activity.
[0143] In some embodiments, the dizziness and/or alertness may be
observed using specially designed filters, and in a non-limiting
example, by an increase in the Delta frequency band.
[0144] In some embodiments, if an alarm condition occurs, the
method and system may follow a predefined procedure which may
include, but is not limited to, alerting the user, alerting a
family member or alerting a care giver. In some embodiments, the
system and method may instruct a user that the user's cardiac
activity has fallen to dangerous low levels. In some embodiments,
the system and method may instruct the user to lift the user's
legs, get off the bed or the chair and move around or other type of
physical activity to increase cardiac activity and thus provide
enough oxygenated blood to the brain to reduce the chance of damage
to parts of the brain due to lack of oxygen.
[0145] In some embodiments, the user may be instructed to contact
the user's doctor, to adjust existing medications to consider
increasing the anti-cholesterol medication, increasing blood
dilution medication, reduce or change the time of taking the blood
pressure medication, and/or consider an intervention to reduce
carotid blockage.
[0146] In some embodiments, the system may include EEG and/or the
other physiological sensors that can connect to a virtual reality
gaming device such as the Oculus Rift.TM.. In some embodiments, the
system includes a virtual reality environment that receives inputs
from the physiological sensors that may indicate the level of
stress, fear, concentration, and/or other parameter during the
computer game, the neural feedback session, the e-learning session,
physical training and/or other activity. FIG. 3 shows a
non-limiting example of the architecture of the present
invention.
[0147] Illustrative Operating Environments
[0148] FIG. 4 illustrates one embodiment of an environment in which
the present invention may operate. However, not all of these
components may be required to practice the invention, and
variations in the arrangement and type of the components may be
made without departing from the spirit or scope of the present
invention. In some embodiments, the system and method may include a
large number of members and/or concurrent transactions. In other
embodiments, the system and method are based on a scalable computer
and network architecture that incorporates varies strategies for
assessing the data, caching, searching, and database connection
pooling. An example of the scalable architecture is an architecture
that is capable of operating multiple servers.
[0149] In embodiments, members of the computer system 102-104
include virtually any computing device capable of receiving and
sending a message over a network, such as network 105, to and from
another computing device, such as servers 106 and 107, each other,
and the like. In embodiments, the set of such devices includes
devices that typically connect using a wired communications medium
such as personal computers, multiprocessor systems,
microprocessor-based or programmable consumer electronics, network
PCs, and the like. In embodiments, the set of such devices also
includes devices that typically connect using a wireless
communications medium such as cell phones, smart phones, pagers,
walkie talkies, radio frequency (RF) devices, infrared (IR)
devices, CBs, integrated devices combining one or more of the
preceding devices, or virtually any mobile device, and the like.
Similarly, in embodiments, client devices 102-104 are any device
that is capable of connecting using a wired or wireless
communication medium such as a PDA, POCKET PC, wearable computer,
and any other device that is equipped to communicate over a wired
and/or wireless communication medium.
[0150] In embodiments, each member device within member devices
102-104 may include a browser application that is configured to
receive and to send web pages, and the like. In embodiments, the
browser application may be configured to receive and display
graphics, text, multimedia, and the like, employing virtually any
web based language, including, but not limited to Standard
Generalized Markup Language (SMGL), such as HyperText Markup
Language (HTML), a wireless application protocol (WAP), a Handheld
Device Markup Language (HDML), such as Wireless Markup Language
(WML), WMLScript, XML, JavaScript, and the like. In embodiments,
programming may include either Java, .Net, QT, C, C++ or other
suitable programming language.
[0151] In embodiments, member devices 102-104 may be further
configured to receive a message from another computing device
employing another mechanism, including, but not limited to email,
Short Message Service (SMS), Multimedia Message Service (MMS),
instant messaging (IM), internet relay chat (IRC), mIRC, Jabber,
and the like or a Proprietary protocol.
[0152] In embodiments, network 105 may be configured to couple one
computing device to another computing device to enable them to
communicate. In some embodiments, network 105 may be enabled to
employ any form of computer readable media for communicating
information from one electronic device to another. Also, in
embodiments, network 105 may include a wireless interface, and/or a
wired interface, such as the Internet, in addition to local area
networks (LANs), wide area networks (WANs), direct connections,
such as through a universal serial bus (USB) port, other forms of
computer-readable media, or any combination thereof. In
embodiments, on an interconnected set of LANs, including those
based on differing architectures and protocols, a router may act as
a link between LANs, enabling messages to be sent from one to
another.
[0153] Also, in some embodiments, communication links within LANs
typically include twisted wire pair or coaxial cable, while
communication links between networks may utilize analog telephone
lines, full or fractional dedicated digital lines including T1, T2,
T3, and T4, Integrated Services Digital Networks (ISDNs), Digital
Subscriber Lines (DSLs), wireless links including satellite links,
or other communications links known to those skilled in the art.
Furthermore, in some embodiments, remote computers and other
related electronic devices could be remotely connected to either
LANs or WANs via a modem and temporary telephone link. In essence,
in some embodiments, network 105 includes any communication method
by which information may travel between client devices 102-104, and
servers 106 and 107.
[0154] FIG. 5 shows another exemplary embodiment of the computer
and network architecture that supports the method and system. The
member devices 202a, 202b thru 202n shown each at least includes a
computer-readable medium, such as a random access memory (RAM) 208
coupled to a processor 210 or FLASH memory. The processor 210 may
execute computer-executable program instructions stored in memory
208. Such processors comprise a microprocessor, an ASIC, and state
machines. Such processors comprise, or may be in communication
with, media, for example computer-readable media, which stores
instructions that, when executed by the processor, cause the
processor to perform the steps described herein. Embodiments of
computer-readable media may include, but are not limited to, an
electronic, optical, magnetic, or other storage or transmission
device capable of providing a processor, such as the processor 210
of client 202a, with computer-readable instructions. Other examples
of suitable media may include, but are not limited to, a floppy
disk, CD-ROM, DVD, magnetic disk, memory chip, ROM, RAM, an ASIC, a
configured processor, all optical media, all magnetic tape or other
magnetic media, or any other medium from which a computer processor
can read instructions. Also, various other forms of
computer-readable media may transmit or carry instructions to a
computer, including a router, private or public network, or other
transmission device or channel, both wired and wireless. The
instructions may comprise code from any computer-programming
language, including, for example, C, C++, C#, Visual Basic, Java,
Python, Perl, and JavaScript
[0155] Member devices 202a-n may also comprise a number of external
or internal devices such as a mouse, a CD-ROM, DVD, a keyboard, a
display, or other input or output devices. Examples of client
devices 202a-n may be personal computers, digital assistants,
personal digital assistants, cellular phones, mobile phones, smart
phones, pagers, digital tablets, laptop computers, Internet
appliances, and other processor-based devices. In general, a client
device 202a may be any type of processor-based platform that is
connected to a network 206 and that interacts with one or more
application programs. Client devices 202a-n may operate on any
operating system capable of supporting a browser or browser-enabled
application, such as Microsoft.TM., Windows.TM., or Linux. The
client devices 202a-n shown may include, for example, personal
computers executing a browser application program such as Microsoft
Corporation's Internet Explorer.TM., Apple Computer, Inc.'s
Safari.TM., Mozilla Firefox, and Opera. Through the client devices
202a-n, users, 212a-n communicate over the network 206 with each
other and with other systems and devices coupled to the network
206. As shown in FIG. 5, server devices 204 and 213 may be also
coupled to the network 206.
[0156] In some embodiments, the term "mobile electronic device" may
refer to any portable electronic device that may or may not be
enabled with location tracking functionality. For example, a mobile
electronic device can include, but is not limited to, a mobile
phone, Personal Digital Assistant (PDA), Blackberry.TM., Pager,
Smartphone, or any other reasonable mobile electronic device. For
ease, at times the above variations are not listed or are only
partially listed, this is in no way meant to be a limitation.
[0157] In some embodiments, the terms "proximity detection,"
"locating," "location data," "location information," and "location
tracking" as used herein may refer to any form of location tracking
technology or locating method that can be used to provide a
location of a mobile electronic device, such as, but not limited
to, at least one of location information manually input by a user,
such as, but not limited to entering the city, town, municipality,
zip code, area code, cross streets, or by any other reasonable
entry to determine a geographical area; Global Positions Systems
(GPS); GPS accessed using Bluetooth.TM.; GPS accessed using any
reasonable form of wireless and/or non-wireless communication;
WiFi.TM. server location data; Bluetooth.TM. based location data;
triangulation such as, but not limited to, network based
triangulation, WiFi.TM. server information based triangulation,
Bluetooth.TM. server information based triangulation; Cell
Identification based triangulation, Enhanced Cell Identification
based triangulation, Uplink-Time difference of arrival (U-TDOA)
based triangulation, Time of arrival (TOA) based triangulation,
Angle of arrival (AOA) based triangulation; techniques and systems
using a geographic coordinate system such as, but not limited to,
longitudinal and latitudinal based, geodesic height based,
cartesian coordinates based; Radio Frequency Identification such
as, but not limited to, Long range RFID, Short range RFID; using
any form of RFID tag such as, but not limited to active RFID tags,
passive RFID tags, battery assisted passive RFID tags; or any other
reasonable way to determine location. For ease, at times the above
variations are not listed or are only partially listed, this is in
no way meant to be a limitation.
[0158] In some embodiments, near-field wireless communication (NFC)
can represent a short-range wireless communications technology in
which NFC-enabled devices are "swiped," "bumped," "tap" or
otherwise moved in close proximity to communicate. In some
embodiments, NFC could include a set of short-range wireless
technologies, typically requiring a distance of 10 cm or less.
[0159] In some embodiments, NFC may operate at 13.56 MHz on ISO/IEC
18000-3 air interface and at rates ranging from 106 kbit/s to 424
kbit/s. In some embodiments, NFC can involve an initiator and a
target; the initiator actively generates an RF field that can power
a passive target. In some embodiment, this can enable NFC targets
to take very simple form factors such as tags, stickers, key fobs,
or cards that do not require batteries. In some embodiments, NFC
peer-to-peer communication can be conducted when a plurality of
NFC-enable devices within close proximity of each other.
Illustrative Examples
[0160] In an non-limiting example, a user obtains a smart band (or
smart watch) which tracks multiple parameters of his biological
signals such as temperature, perspiration, pulse, blood flow
patterns, heart rate variability, blood pressure etc. In the
example, the sensors can also track his activity (by using 3d
accelerometer and gyro meter). In this example, the user can also
answer questions on his mobile phone related to his health status,
including questions related to his physical and mental status. In
this example, in addition, to augment the inputs from the
questionnaires, the system can also interface with the user's
medical records, be it from his medical record residing on his
computer, or on other system (for example his electronic medical
record (EMR) at his physician office or insurance company, or any
or many clinics or hospitals. In this example, additional records
could include genomic data such as data available to the user from
consumer services the user may have already subscribed to such as
23 and me.
[0161] In this example, studies already show that cardiac patients
who are taught to recognize environmental and personal stressors
can better manage them, enjoy better health at less cost than
patients who participate in an exercise program or those given
typical heart care. In this example, group stress management
program in a "real-world" setting can result in clinically
significant benefits for patients with type 2 diabetes. In this
example, the current system is utilizing a combined and synergistic
system that highlights the strength of a multifaceted approach to
further reduce cost and improve care for both patient with CVD and
those with Diabetes. In this example, the system gives advice on
multiple domains. In this example, the system provides advice
related to nutrition, fitness, stress management and sleep habits
of the user.
[0162] Personalized Dietary Supplements System:
[0163] Based on the questionnaires and the results arising from the
physical parameters from the sensors, in this example, the system
can provide recommendations related to dietary supplements as well
as to other lifestyle recommendations (such as sleep habit
recommendations). In this example, the system can provide both
periodic recommendations (e.g. monthly dosing and daily dosing), as
well as specific enhancements and/or adjustments based on immediate
needs (such as daily stress needs). By way of illustration, if the
system detects a pattern of frequent sudden spikes of pulse during
the day, without extraneous physical activity, the interpretation
might be that the user is under stress. In this example, the system
might suggest stress management exercises, but also can suggest
dietary supplements to address stress. In this example, this might
be during a particular day where stress situation was detected
(daily dosing adjustment), or an adjustment to the routine dosing
of the person.
[0164] Examples of questions that could be asked and based of which
personalized regimen could be devised, in combination with the
additional information from the sensors and inputs from other
sources of information (e.g. the medical records of the user) may
include: [0165] Have you ever been diagnosed or treated for any
form of cancer? y/n [0166] Has any immediate blood-related family
member been diagnosed or treated for any form of cancer before they
were 45 years old? y/n [0167] Are you often depressed? Y/N [0168]
Have you been diagnosed or treated for heart disease or stroke?
Yes/NO [0169] Has any immediate blood-related family member been
diagnosed or treated for heart disease or stroke before they were
45 years old? Yes/No [0170] Do you suffer from allergic symptoms?
Yes/No [0171] Do you often suffer from back pain? Yes/No [0172] Are
you suffer from chronic fatigue? Yes/No [0173] Are you often
anxious or nervous? Y/N [0174] Do you have arthritis or pain in
your joints? Yes/No [0175] Do you often suffer from headaches? y/n
[0176] Do you suffer from constipation? Y/N [0177] Do you have
problems with your digestion? Y/N [0178] Do you have Asthma? Yes/No
[0179] Do you have symptoms of low thyroid (e.g. tendency to
constipation, thinning hair, fatigue, and muscle weakness)? Yes/No
[0180] Do you get sick often (more than three times a year) with
colds, upper respiratory or sinus infections, etc.? [0181] Do you
suffer any symptoms of an enlarged prostate (e.g. decreased urinary
stream, increased frequency, dribbling, having to urinate more than
once per night)? Y/N [0182] Have you been diagnosed with or do you
take medication for high blood pressure? Y/N [0183] Have you been
told you have elevated cholesterol? Y/N/Do not Know [0184] Do you
take statin drugs? Y/N [0185] how many times a week do you have
sex--0/1-2/3-5/more than 5 [0186] which of the following relaxing
activities do you engage in regularly: yoga/long walks/regular
massages/writing in a journal [0187] How many hours of sleep do you
average? 5 or less/6 to 8/8 or more [0188] Do you often have
trouble falling asleep? y/n [0189] or do you awaken frequently
during the night? y/n [0190] Do you feel that your short term
memory worse than it was when you were younger? Y/N/ [0191] how
many times a week do you eat meat--none/1-3 times/3-6 times/more
than 6 [0192] Are you a vegetarian? y/n [0193] How many glasses (8
ounce) of water do you drink daily? Less than 6/6-8/8-10/more than
10 [0194] How many servings of fruits and vegetables do you eat in
a typical day? 4 or less/5 or more [0195] Do you take a
multi-vitamin daily? y/n [0196] How many servings of milk or cheese
do you get per day? 1 or less/2-4/5 or more [0197] Do you take fish
oil? y/n [0198] Do you have type II diabetes? y/n [0199] do you
have abdominal circumference >40 inches [0200] do you have
Fasting blood sugar >100 [0201] How many times each week do you
do at least 30 minutes of aerobic exercise? Less than 3/3 or more
[0202] How many times each week do you do strength training?
0/1/2/3 or more
[0203] In the example, if the user answers yes to allergic
symptoms, the system may suggest one or many supplements that are
known to be associated as natural anti-histamines, such as the food
supplements Vitamin C, Omega 3, quercetin and Grape See Extracts.
In addition, in the example, the system will suggest recipes and
foods that contains such ingredients, for example Omega 3
containing fish like Salmon and Tuna, and Vitamin C containing
fruits like Mango and Oranges-based dishes. In an embodiment, the
system can offer natural solutions that are suggested as
personalized natural medications to the users, based on the
preference set of the users.
[0204] In the example, assume the person answers in the
questionnaire he sleeps less than 6 hours of sleep per day. In
addition to the tracking of the number of hours of sleep using the
sensors (the watch of bracelet), the user, in this example, can
answer the questions related to the number of sleeping hours and
sleeping habits. It is known that sleep deprivation can result in
suppressed immune system function, and could yield weight gain,
hypertension, and other health disorders. It is further known that
one in three people are chronically sleep deprived, but sleep is
vital to proper brain function. In this example, if the user has
low number of sleeping hours (typically, below 6 hours per night),
the system will recommend (among its life style recommendations)
the more sleeping hours, and will propose one or more relaxation
techniques before bed time (such as breathing exercises, playlist
etc). Furthermore, the system in this example would offer one or
more dietary supplement known to be associated with improved
sleeping length of sleep and quality of sleep, such as
Melatonin.
[0205] Another example may deal with the number of units of fruits
and vegetables the user is consuming. In an example, if the user
answers 4 or less servings, the system will propos to increase it
to at least 5 servings per day.
[0206] Resistance, Suspension Bands Embedded with Sensors:
[0207] Resistance Straps: Standard resistance bands consist of
rubber tubing measuring about 5 feet in length with handles on each
end. "JC" bands are made with two five-foot rubber tubes with
handles on one end and a connector at the other end that secure the
bands side by side. The other side of the connector is a loop strap
used to secure the JC Band to an anchoring device. Flat bands are
four-inch wide flat resistance bands that come in rolls of 50
yards. These are most commonly used in therapy environments where
varying lengths of the bands are used for therapeutic exercise. All
versions of these bands come in varying strengths including, most
commonly, extra light, light, medium, heavy and extra heavy.
[0208] Suspension straps: These are made of nylon straps may be
anchored to a fixed object of sufficient strength to support a
person's weight. The straps typically consist of three components:
anchoring portion of the strap; the portion of the strap that is
used for exercises; and handles on each end of the training portion
of the strap. In a gym setting, suspension straps are anchored to a
number of devices including a large floor standing a-frame
structure, a wall mounted frame and a wall mounted closed loop
B-ring. The user fastens the suspension strap to the anchoring
device by: wrapping the strap around the anchoring device and
locking it into place with a carabineer; or with a clip hook or
carabineer directly to a closed loop anchor. To adjust the length
of straps, most of the commercially available straps use adjustment
buckles and strap extenders. The buckles operate like a common
luggage strap buckle that increases or decrease the length of the
strap. Strap extenders are straps of varying lengths that increase
the length of the anchoring portion of the strap. These straps are
attached together using carabineers or clip hooks. The most popular
is TRX.TM. Suspension Trainer.TM. from Anytime Fitness. Other
suspension products include Jungle Gym XT and The Human
Trainer.TM..
[0209] Stretch Straps: Stretching using stretch straps is another
example of a therapeutic modality. To perform a stretch, the body
must be put in a position to lever and lengthen the muscle being
stretched. Stretch straps are commonly used in both fitness and
therapeutic applications to create the necessary angles to lever
the body. In their most simple form of a stretch strap is a yoga
strap. This is a six to ten feet of yoga strap with a buckle on one
end. The buckle is used to form a closed loop at one end of the
strap for anchoring the strap to a foot or wrist. Once the foot or
wrist is anchored, the user pulls the other end of the strap to
execute the stretch. There are a number of other stretch straps on
the market including the Stretch Out.TM. Strap. A more complex
version of a yoga strap, the Stretch Out.TM. Strap is a six-foot
strap with 10 loops used for grabbing or foot placement.
[0210] In an example, by embedding an activity tracker on the strap
and connecting the activity tracker which incorporates 3D motion
detector to the system of the present invention via a method such
as wi-fi, NFC, Bluetooth or other method detailed herein, provides
a method to detect whether the drills the person conducting the
physical exercise is doing are proper and completed according to
instructions.
[0211] In FIG. 6, two such activity trackers are being displayed.
Activity tracker 601 is embedded in Suspension Strap 602 and
Activity tracker 603 is embedded in Suspension Strap 604. In this
example, these activity trackers are monitoring the activity of the
trainee and either constantly send the information to the mobile
unit or store it until the next syncing.
[0212] In FIG. 7, details regarding the activity tracker embedded
in the strap are shown. The activity tracker of this example
incorporates a 3D accelerometer, a storage unit (RAM), a processing
unit and a communication unit (in the illustration, a blue tooth).
Other examples may include a low power blue tooth or other
communication vehicle such as ZigBee, Ant+ etc.
[0213] Competitions and Collaborations: The user can also
communicate with other users of the system and collaborate or
compete with them in some examples. In an example, he can compete
with one or many users who can complete first a series of pulling
of the suspension bands. In the example, the winner will be awarded
with points in the system. In the example, the reward system can be
of many mechanisms. In an example, the competition could be with
virtual goods such as points or badges of honor, or they can be for
actual monetary rewards between the users, meaning games of skills
with monetary rewards. In another example, the same platform could
be utilized in order to have a peer betting as well. In some
examples, collaborations can be devices using the platform. In an
example, users can play together or form teams for a common cause.
In the examples, this may include group meditation or stress
management class, or any type of program where group meeting has a
role. Such group collaboration effort is known to be effective in
weight management programs for examples, where the group meetings
is known to increase the compliance level.
[0214] Stress Management Programs: Stress produces numerous
symptoms which vary according to persons, situations, and severity.
These can include physical health decline as well as depression.
Many practical, stress management techniques are available
[0215] In some examples, a variety of stress management programs
could be devised using the system described in this invention. In
an example, the system could offer a dynamic a scenario based
solutions. In a specific example, the user could define a variety
of stressful trigger events and a variety of output events. In the
example, illustrative stressful events that the system could detect
could be: pulse rate spike of over 10; sudden increase in
perspiration; sudden increase in body temperature of 1 degree
Celsius. In an example, illustrative output events could include:
breathing exercise; playlist of classical music; relaxing game;
video clip of dogs playing in a field; or other output selected by
the system and/or the user.
[0216] In an example, in the set up phase, the user conditions the
system with a variety of scenarios so that when the different
scenarios arise, the system will automatically select appropriate
outputs. In an example, the user can set up the system so that when
his pulse suddenly increases above 80 within less than 1 minute
while he is not in physical exercise, the program will recommend a
breathing exercise. In another example, a different user could set
up the system to play a relaxing music to him under similar
scenario. In the example, during the daily routine, when the system
detects a sudden increase in his pulse to above 80 and process this
as a stress situation, the breathing exercise will be suggested,
whereas for the other user, relaxing music will be the
solution.
[0217] Taking Care of an Avatar as a Proxy for Healthier Life: in
an example, the system will enable the creation of an avatar, or a
surrogate, that the person can take care of. In an example, this is
expected to be useful for kids and teenagers, who are less prone to
worry about healthy lifestyle, but might be likely to be inclined
to take care of a virtual figure that will be nurtured in a virtual
world. In the example, the avatar can flourish under the right
conditions which will be related to healthy lifestyle. In an
example, following proper nutrition, fitness program and the stress
management program and the sleeping instructions will result in a
positive avatar.
[0218] In an example, the avatar can appear on a smart watch as
appearing in FIG. 8. In an example, the face of the watch have a
figure of an avatar which is smiling as the kids is following the
instructions of the software residing on the mobile device. In the
example, when the kids is not maintaining a healthy life, for
example, if he does not sleep a sufficient number of hours, the
face of the avatar will change and be angry or sad, as is the case
in FIG. 9. In an example, the avatar can be configurable and can be
of many figures, including the shape of the user himself.
[0219] In some embodiments, any breathing technique may be used
including, but not limited to, Ujjayi breathing or other. In an
example, by using the microphone of the mobile phone, it is
conceivable to create an system to implement and monitor the
breathing technique. In an example, the system could be used to
track how the user follows a guided instructed breathing exercises.
For example, one method of breathing is the Ujjayi breathing. In an
example, a user of the system can be monitored using a microphone
to ensure optimal breathing. Other breathing techniques may
include, but are not limited to, "Equal Breathing"; Abdominal
Breathing Technique; "Alternate Nostril Breathing"; "Skull Shining
Breath"; Progressive Relaxation; Guided Visualization.
[0220] FIGS. 10-18 show additional features of the various
embodiments of the present invention.
[0221] In some embodiments, the present invention is a method for
locating personal stimulation points and stimulation mode for
effective and personalized use of electrostimulation.
[0222] Electric current delivered via electrodes to the skin has
many uses in medicine. The three main indications of electric
current include:
[0223] 1) TENS use of electric current to stimulate the nerves for
the treatment of pain.
[0224] 2) Electrical muscle stimulation (EMS), also known as
neuromuscular electrical stimulation (NMES) is the use of electric
current to cause muscle contraction. The muscles contract in
response to the application of electric current causing passive
muscle training.
[0225] 3) Electric current is also used to stimulate acupuncture
points.
[0226] In some embodiments, the electrostimualtion devices include
three parameters--pulse width (duration), pulse frequency (rate),
pulse pattern (mode).
[0227] In some embodiments, a TENS device delivers biphasic pulsed
currents in a repetitive manner, using pulse durations of 50-250
microseconds and pulse frequencies of 1-200 pulses per second (Hz).
In some embodiments, pulse patterns may be continuous, burst or
modulated patterns and randomly changing patterns of pulses may be
employed.
[0228] In some embodiments, electro-stimulation may be used to
stimulate the thyroid gland and other glands in the body to enhance
their function and hormone release, transcranial electrostimulation
for treating headaches and providing scalp relaxation therapy.
[0229] In some embodiments, the electricity influences the body in
multiple ways including, but not limited to, relaxation, sleep,
creating positive sensations (both physical and emotional) and
inducing pleasure sensations such as the pleasure of a hug, or
sexual pleasure. In some embodiments, the present invention
includes personalized use of electric stimulation.
[0230] In some embodiments, the system includes an integrated and
computerized sensors platform configured to monitor vital signs and
body functions. In some embodiments, the integrated and
computerized sensors platform are configured for sensing, recording
and tracking the effect of electrostimulation on the body. In some
embodiments, the sensors platform are configured for personalized,
diverse and effective use.
[0231] In some embodiments, the method of the present invention
includes locating the electrodes, identifying the frequencies and
rates of electrostimulation, receiving sensor information,
receiving user feedback, and evaluating the electrostimulation
based, at least in part, on the sensor information and user
feedback.
[0232] In a non-limiting example, the present invention includes a
method of relieving stress and/or reducing tension. In some
embodiments, the method may include providing an integrated
platform to a user; wherein the platform may include sensors
positioned on a headband configured for measuring EEG and a
plurality of electrodes configured for application of
electro-stimulation. In embodiments, the method may also include
supplying first instructions to the user; wherein the first
instructions are based, at least in part, on a predetermined
stimulation plan and wherein the first instruction include proposed
first sensor and/or electrode locations. In embodiments, the method
may also include receiving first data from the sensors and/or
electrodes; wherein the first sensor data includes at least EEG
measurements and wherein the first electrode data includes at least
an electrostimulation history.
[0233] In some embodiments, the method further includes storing the
first data in a non-transient computer memory having at least one
region for storing computer executable program code. In other
embodiments, the method includes Supplying second instructions to
the user at a predetermined time after providing first instructions
to the user; wherein the second instructions are based, at least in
part, on an analysis of stored first data; and wherein the second
instructions include at least one second proposed sensor and/or
electrode location and/or additional electro-stimulation
parameters.
[0234] In some embodiments, the method includes receiving second
data from the sensors and/or electrodes; wherein the second sensor
data includes at least EEG measurements and wherein the second
electrodes data includes at least an electrostimulation history. In
some embodiments, the method includes receiving third data from the
user; wherein the third data is based, at least in part, on the
user's subjective assessment of the electro-stimulation
[0235] In some embodiments, the method includes storing the second
data and third data in a non-transient computer memory having at
least one region for storing computer executable program code
[0236] In some embodiments, the method includes using at least one
processor for executing the program code stored in the memory,
wherein the program code determines if the second proposed sensor
and/or electrode locations improves at least the user's relaxation
level when compared to a level of user's relaxation from the first
proposed sensor and/or electrode locations; wherein the
determination is based, at least in part, on the first data, the
second data, and/or the third data.
[0237] In other embodiments, the method includes supplying third
instructions to the user to mark and/or photograph the electrode
and/or sensor locations based, at least in part, on the
determination.
[0238] In some embodiments, the system of the present invention
includes a specifically programmed computer system that includes a
non-transient computer memory having at least one region for
storing computer executable program code; and at least one
processor for executing the program code stored in the memory,
wherein the program code performs at least one of the steps
detailed above.
[0239] In some embodiments, the system is configured to initiate a
relaxation scheme. In some embodiments, as the user applies the
system in daily living, the system may identify that the user is
stressed or tensed. In some embodiments, the system may
subsequently suggest to the user to perform breathing exercises or
to drink a healthy juice, or to conduct an electrostimulation
session, according to a plan that proved to be effective in the
past, either for muscle or nerve relaxation. In some embodiments,
the session plan is suggested to the user based on the past
sessions stored in the system's memory, including the outcomes in
terms of sensors recordation (e.g EEG) and user's input data. In
some embodiments, the system is configured to measure the
effectiveness of the session and store it to the memory.
[0240] In some embodiments, the method include the following
steps:
[0241] A user wears the integrated platform as part of regular
activity.
[0242] The system identifies that the user is tensed, for example
according to his EEG, blood pressure, breathing patterns, voice
recognition, heart rate, etc.
[0243] The system offers the user relaxation options, including an
electro-stimulation relaxation session.
[0244] The system asks the user for session guidelines, e.g. the
length of the session.
[0245] The system searches for an appropriate plan according to the
user's guidelines.
[0246] The user puts on electrodes and operates session.
[0247] The sensors record the body response to the sessions, for
example EEG, blood pressure, breathing patterns, voice recognition,
heart rate, etc. and store the entire session for future
reference.
[0248] In some embodiments, the method include the following
steps:
[0249] User puts on the integrated platform--sensor headband for
measuring EEG+electrodes for applying electro-stimulation.
[0250] User places the electrodes on initial suggested locations
with an initial stimulation plan.
[0251] The system records the applied stimulation and the EEG
measurements.
[0252] After a predetermined period of time the user is invited to
move the location of the electrodes and/or change the parameters of
the electro-stimulation.
[0253] The system indicates if the new location or new stimulation
parameters improves the EEG outcome in terms of relaxation. The
user is also invited to add his subjective assessment on the
outcome and effectiveness of each session.
[0254] The user is also invited to mark and photograph the
locations of electrodes placement on his body and attach the
pictures to the session record.
[0255] In the following session the user may continue his personal
learning process from the place he stopped in the previous
session.
[0256] The process results in a personalized stimulation plan and
electrode locations for relaxation.
[0257] In some embodiments, the personalized electro-stimulation
scheme includes learning the electrode location and stimulation
plan for creating positive sensations and emotions a detailed in
the following method steps:
[0258] User puts on the integrated platform--EEG sensors+electrodes
for applying electro-stimulation
[0259] User places the electrodes on initial suggested locations
with an initial stimulation plan
[0260] The system records the course of stimulation and the EEG
measured
[0261] After a predetermined period of time the user is invited to
move the location of the electrodes and/or change the parameters of
the electro-stimulation
[0262] The system indicates if the new location or new stimulation
parameters improves the EEG outcome in terms of pleasant sensation.
The user is adds his subjective assessment on the outcome of the
session.
[0263] The user is also invited to mark and photograph the
locations of electrodes placement on his body and attach the
pictures to the session record
[0264] In the following session the user may continue his personal
learning process from the place he stopped in the previous
session
[0265] The process results in personalized stimulation plan for
evoking pleasant sensation and emotions
[0266] In some embodiments, the system and method for the may be
used for providing positive feedbacks to the user in various
situations, for example in computer games this may be used to
provide positive feedback. In some embodiments, positive sensations
and/or emotions may be used with social networks or long distance
communication such as Skype.
[0267] In some embodiments, the system and method may be configured
to treat sleep apnea and/or snoring as detailed below:
[0268] Establishing the personal "waking-up" signal--user wears the
electrode during the night and establishes his personal "waking-up"
signal that is sufficiently strong to wake him up, but minimal in
terms of interruption and discomfort.
[0269] User wears the integrated platform--SPO2 sensors+voice
vibrations sensor+electrodes for applying electro-stimulation.
[0270] User goes to sleep.
[0271] The system records the SPO2 sensor data and voice vibration
sensor through the night.
[0272] Whenever sleep apnea is detected the system applies the
personal "waking-up" stimulation signal identified before, for the
user to wake up and catch his breath back.
[0273] Whenever snoring is detected to be above a predetermined
threshold, the system applies the "waking-up" stimulation signal
identified before.
[0274] In some embodiments, the system and method may include
breathe, meditation and ventilation training sessions. In some
embodiments, the system is configured to reduce drifting away of
the mind and breathing that returns to its regular every day
pattern which is often shallow and partial during meditation. In
some embodiments, the system and method are configured for
improving ventilation, changing breath patterns, and improving
meditation sessions by using a personal "reminder" stimulation data
for returning the user to its course of training.
[0275] In some embodiments, the method includes the following
steps:
[0276] Much like for sleep, a user may establish his personal
"reminder" stimulation for breathe and meditation sessions.
[0277] The user wears the integrated platform of SPO2
sensor+electrostimulation electrodes.
[0278] The user begins his meditation and breathing session.
[0279] Whenever the system identifies a shallow breathing pattern
the system provides the predetermined "reminder" stimulation to the
user for returning into deep breathing.
[0280] This may result in a very fast training curve and
reprogramming breathing patterns.
[0281] In some embodiments, the system and method can detect, based
at least in part on the EEG sensors, a distinction between positive
and negative thoughts and negative and positive feelings associated
with these thoughts. In some embodiments, the system and method is
configured to facilitate a user in training himself on breaking
thinking patterns.
[0282] In some embodiments, the method includes the following
steps:
[0283] The user establishes his personal "reminder"
stimulation.
[0284] The user wears the integrated platform including EEG
sensor+electrostimulation electrodes.
[0285] The user begins his training session.
[0286] Whenever the system identifies negative thoughts or emotions
the system provides the predetermined "reminder" stimulation to the
user for returning into deep breathing.
[0287] This may result in a very fast training curve of
reprogramming thinking patterns.
[0288] In some embodiments, the system and method are configured to
locating acupuncture points.
[0289] In some embodiments, acupuncture is defined as stimulating
points on a body using needles or electric stimulation. In some
embodiments, the stimulation points may result in correcting
imbalances in the flow of qi through channels known as
meridians.
[0290] In some embodiments, the system and method of the present
invention are configured to allow a user to locate personal
acupuncture points using a pulse sensor and by detecting gentle
changes in pulse when hitting on a real point. In some embodiments,
the method includes the following steps:
[0291] User wears the integrated system including the pulse
sensor.
[0292] The user places electrodes on estimated acupuncture point
and activates the stimulation.
[0293] The system identifies if the point is an acupuncture point
according to changes in pulse.
[0294] If the system detects no changes in pulse the user is
invited to change the location of the electrodes and start
over.
[0295] After the identification of true acupuncture points the user
is invited to mark and photograph the location of the point for the
system accumulation of data and future analysis and reference.
[0296] In some embodiments, the system and methods may utilize all
available sensors and sensors combination in order to analyze the
body reaction to the electrostimulation sessions when performing
any of the non-limiting examples described above. In some
embodiments, the system may include sensors capable of detecting
EEG, blood pressure, breathing patterns, voice recognition, heart
rate, perspiration, temperature, or other physical parameter and
may be used to analyze the body and/or mind reaction related to any
of the examples detailed above, such as relaxation, creating
positive sensation, locating acupuncture points, and/or gaming.
[0297] While a number of embodiments of the present invention have
been described, it is understood that these embodiments are
illustrative only, and not restrictive, and that many modifications
may become apparent to those of ordinary skill in the art. Further
still, the various steps may be carried out in any desired order
(and any desired steps may be added and/or any desired steps may be
eliminated).
* * * * *