U.S. patent application number 16/513072 was filed with the patent office on 2019-11-07 for systems and methods for distal control of health effectors.
The applicant listed for this patent is Soniphi LLC. Invention is credited to Mark Hinds, James McClanahan, Matthew Sanderson, Deric Solis.
Application Number | 20190336719 16/513072 |
Document ID | / |
Family ID | 59057627 |
Filed Date | 2019-11-07 |
United States Patent
Application |
20190336719 |
Kind Code |
A1 |
Sanderson; Matthew ; et
al. |
November 7, 2019 |
Systems And Methods For Distal Control of Health Effectors
Abstract
A system for improving a health status of a person by analyzing
and applying frequency information at a person is disclosed. The
frequency information could be collected from an audio sample, or
could be collected via feedback frequencies occurring when a test
frequency is applied at the person. The system receives one or more
characteristics of the person, transmits a first protocol to a
control module, and receives a first set of frequency feedback
information from the control module. Using a portion of the first
set of frequency feedback information, the system derives a
fundamental frequency of the person. The fundamental frequency is
compared to the fundamental frequency to other persons with similar
characteristics in a historical frequency dataset, wherein the
historical frequency dataset comprises an ideal frequency dataset.
In response to the comparison, the system develops a second
protocol that implements a second frequency and a corresponding
second duration.
Inventors: |
Sanderson; Matthew; (Incline
Village, NV) ; Hinds; Mark; (Incline Village, NV)
; Solis; Deric; (Santa Rosa, CA) ; McClanahan;
James; (Greenwood, CO) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Soniphi LLC |
Incline Village |
NV |
US |
|
|
Family ID: |
59057627 |
Appl. No.: |
16/513072 |
Filed: |
July 16, 2019 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
14973413 |
Dec 17, 2015 |
10350380 |
|
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16513072 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
A61B 2562/0204 20130101;
A61M 2021/0055 20130101; A61M 2021/0027 20130101; A61B 7/04
20130101; A61M 2205/3375 20130101; A61M 2021/0072 20130101; A61M
21/00 20130101; A61B 5/0051 20130101; A61B 5/024 20130101 |
International
Class: |
A61M 21/00 20060101
A61M021/00; A61B 5/00 20060101 A61B005/00; A61B 5/024 20060101
A61B005/024; A61B 7/04 20060101 A61B007/04 |
Claims
1. A method for analyzing and improving a health status of a
person, comprising: receiving one or more characteristics of the
person; transmitting a first protocol to a control module that
implements a first frequency at a first duration at the person;
receiving a first set of frequency feedback information from the
control module; using a portion of the first set of frequency
feedback information to derive a fundamental frequency of the
person; comparing the fundamental frequency to other persons with
similar characteristics in a historical frequency dataset, wherein
the historical frequency dataset comprises an ideal frequency
dataset; and developing a second protocol that implements a second
frequency and a corresponding second duration to adjust the
fundamental frequency closer to the ideal frequency dataset.
2. The method of claim 1, further comprising a sensor, wherein the
sensor comprises a cellular phone.
3. The method of claim 1, further comprising a sensor, wherein the
sensor comprises a wearable device.
4. The method of claim 1, further comprising receiving, via the
control module, a full spectral analysis of the first set of
frequency feedback information.
5. The method of claim 1, wherein the portion of the first set of
frequency feedback information comprises a highest dB reading.
6. The method of claim 1, wherein the portion of the first set of
frequency feedback information comprises a lowest dB reading.
7. The method of claim 1, wherein the portion of the first set of
frequency feedback information comprises cumulative octave
readings.
8. The method of claim 1, wherein the portion of the first set of
frequency feedback information comprises harmonic readings.
9. The method of claim 1, wherein the portion of the first set of
frequency feedback information comprises frequency groupings.
10. The method of claim 1, wherein the step of using the portion of
the first set of frequency feedback information to derive the
fundamental frequency comprises deriving the fundamental frequency
as a function of the first frequency and the corresponding first
duration.
11. The method of claim 10, wherein the first frequency is the
fundamental frequency.
12. The method of claim 10, wherein the first frequency is a
harmonic of the fundamental frequency.
13. The method of claim 1, wherein the step of using the portion of
the first set of frequency feedback information to derive the
fundamental frequency comprises deriving the fundamental frequency
as a strongest frequency detected within the portion of the first
set of frequency feedback information.
14. The method of claim 1, further comprising transmitting the
second frequency to the person.
15. The method of claim 1, wherein the one or more characteristics
are at least one of a sex, an race, and a profession.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation of U.S. Utility patent
application Ser. No. 14/973,413, filed on Dec. 17, 2015.
FIELD OF THE INVENTION
[0002] The field of the invention is distal health treatment
devices.
BACKGROUND
[0003] The background description includes information that may be
useful in understanding the present invention. It is not an
admission that any of the information provided herein is prior art
or relevant to the presently claimed invention, or that any
publication specifically or implicitly referenced is prior art.
[0004] All publications herein are incorporated by reference to the
same extent as if each individual publication or patent application
were specifically and individually indicated to be incorporated by
reference. Where a definition or use of a term in an incorporated
reference is inconsistent or contrary to the definition of that
term provided herein, the definition of that term provided herein
applies and the definition of that term in the reference does not
apply.
[0005] People frequently need to have medical needs diagnosed from
a distal location, but are either unable or unwilling to travel to
a doctor in order to have the medical needs diagnosed. In such
situations, a medical doctor needs to travel to the sick person in
order to diagnose the person. However, hiring a medical doctor to
travel to the bedside of a sick patient is not always feasible or
cost-effective, and, unless the doctor is a specialist, the doctor
frequently cannot provide adequate bedside care.
[0006] U.S. Pat. No. 8,380,296 to Lee teaches an implantable
medical device that uses brain state information to activate,
de-activate, and/or modify therapy for a patient. The medical
device can detect a seizure and can activate an implanted
defibrillator to steady the heart of the patient, or even restart
the heart of a patient having heart problems. However, many
patients either cannot afford, or do not want, a medical device
implanted within their body. In addition, Lee's implantable medical
device can only diagnose a small number of heart-related
illnesses.
[0007] U.S. Pat. No. 8,657,756 to Stahmann teaches a system with an
implantable internal sensors that sends movement data to an
external processing system. A diagnosis processor could then
diagnose a disease or disorder based upon the sensor information,
which could then be sent to a therapy device, such as a drug
delivery device or a nerve stimulation therapy device. Stahmann's
system, however, requires a device to be implanted into the system
for detailed analysis. Again, many patients either cannot afford,
or do not want, a medical device implanted within their body.
[0008] U.S. Pat. No. 8,663,106 to Stivoric teaches a system that
measures the temperature of a human body non-invasively using skin
and ambient temperature sensors. The system can derive and predict
a number of physiological and conditional states and events, and a
caregiver could program devices that detect certain use-related
conditions to deliver medication or other nutrients in response.
Stivoric, however, can only predict a limited number of conditions
by monitoring the temperature of the patient, and many patients
prefer not to ingest medication in response to a detected
malady.
[0009] Thus, there remains a need for a system and method to
improve the detection and treatment of various medical
conditions.
SUMMARY OF THE INVENTION
[0010] The following description includes information that may be
useful in understanding the present invention. It is not an
admission that any of the information provided herein is prior art
or relevant to the presently claimed invention, or that any
publication specifically or implicitly referenced is prior art.
[0011] The inventive subject matter provides apparatus, systems,
and methods in which a diagnosis system uses frequencies to improve
the health status of the person. The system could use any suitable
frequency information to derive the health of the person, for
example bio-acoustic information, bio-electronic information (e.g.
electromagnetic frequencies, heart-rate frequencies, galvantic skin
response frequencies), bio-magnetic information, bio-vibrational
information, and bio-luminescent information (light frequencies).
As used herein, "bio-acoustic information" comprises sonic
information embedded within a voice sample--excluding linguistic
data. As used herein, "linguistic data" comprises any information
that requires knowledge of a language to decipher and/or
understand, such as English, Russian, or Mandarin Chinese. As used
herein, "bio-electronic information" comprises electronic impulses,
such as current, voltage, and frequency, emanating from a person.
As used herein, "bio-magnetic information" comprises any magnetic
fields detected from a person. As used herein, "bio-vibrational
information" comprises any tactile vibrations detected upon a
surface of a person or upon a surface of clothing worn by the
person. As used herein, "bio-luminescent information" comprises
light waves reflecting off of a surface of the person. Preferably,
the system uses the frequency information to develop a protocol
that implements a frequency for a duration of time at the person.
As used herein, "at the person" means within two meter's distance
from a center of the person, and more preferably within 1.5 meter's
distance from a center of the person, within 1 meter's distance
from a center of the person, or even within 0.5 meter's distance
from the center of the person. Devices located "at the person"
could be worn by the person, be placed within a pocket worn by the
person, could be embedded within a body part of the person, or
could be placed within a proximate area of the person.
[0012] The system can collect frequency information from the person
in a variety of ways. In some embodiments, the system collects
passive emitted frequency data, such as bio-acoustic information
via a person speaking into a microphone or heart rate information
via a person wearing an electro dermal device. In systems that
collect bio-acoustic information, the system could record a voice
sample that contains bio-acoustic information emitted by the
person's voice. In other embodiments the system emits frequencies
at the person, such as a laser aimed at portions of the person's
body at a frequency or an electrode that transmits electronic
signals through the person's body, and detects frequency feedback
from the person's body similar to a radar "pinging" portions of the
person's body. In systems that collect bio-electronic information,
the system could record electronic impulses detected through an
electrodermal sensor. In some embodiments, the system implements a
frequency sweep of a part of the person's body to derive the
strength of resonant frequencies.
[0013] Frequency information could be collected by a sensor at the
person, for example a microphone embedded in a cellular phone or an
electronic wearable device functionally coupled to a computer
system, which transmits frequencies to the computer system. In some
embodiments, the sensor could be surgically implanted within the
person's body, such as within a pacemaker or other implantable
device, which transmits detected frequencies to a computer system
functionally coupled to the sensor. As used herein, an electronic
device that is "functionally coupled" to another electronic device
is coupled in such a way as to allow electronic data to be
transmitted from one electronic device to another electronic
device, using a wired or wireless data connection. Contemplated
sensors include microphones, electroencephalograms, electrodermal
sensors, cameras, infrared sensors, and antennas. The frequency
information could be a sample over any period of time suitable to
collect enough information to derive a person's state, for example
at most 2 seconds, at most 5 seconds, at most 10 seconds, at most
30 seconds, at most 1 minute, or even at most 5 minutes. In some
embodiments, a user interface might be presented to the person,
triggering the person to perform an activity that would cause
frequencies of the person to be easier to capture, such as placing
electrodermal sensors on a portion of the person's body, or read a
sentence presented on the user interface into a microphone sensor.
The sensor could be configured to transmit either the raw data to a
remote computer system, or could be configured to transmit only
derived frequency information (e.g. bio-acoustic information,
bio-electronic information, bio-magnetic information,
bio-vibrational information, or bio-luminescent information) to a
remote computer system distal from the person for processing.
[0014] Frequency information extracted from the collected raw
sensor data is typically transmitted to a frequency processing
module to be analyzed. In preferred embodiments, the frequency
information is analyzed by a computerized frequency processing
module which derives frequency information from the collected raw
data from the sensor or sensors at the person. Preferably, a full
spectral analysis of the raw data is performed in order to extract
as much frequency information as possible from the raw data.
Exemplary frequency information includes, for example, a highest dB
(decibel) reading, a lowest dB reading, cumulative octave readings,
harmonics, and logical groupings of frequencies. In some
embodiments, the frequency processing module could be configured to
derive a fundamental frequency from the raw data. As used herein, a
"fundamental frequency" comprises the lowest frequency produced by
the oscillation of an object. In some embodiments, the frequency
processing module could derive the fundamental frequency to be the
lowest frequency detected within the voice sample, and in other
embodiments, the frequency processing module could derive the
fundamental frequency to be the lowest frequency of a minimum
threshold volume level, for example over 60 dB or over 40% of the
loudest sound within the audio sample. In other embodiments, the
frequency processing module could derive the fundamental frequency
to be the strongest (e.g. highest decibel) frequency detected
within a portion of the voice sample, or the strongest whole-number
frequency detected within a portion of the voice sample.
[0015] In some embodiments, the frequency processing module could
be configured to derive a disease state of the person. For example,
the frequency processing module could be configured to detect
whether a portion of the person's throat is injured by detecting
which frequencies the person sings well vs. the frequencies the
person sings poorly. (e.g. a person might sing a C note at a high
decibel level but an F# note at a low decibel level or at an
uneven, scratchy decibel) In other embodiments, the frequency
processing module could be configured to detect a strength of the
person's fundamental frequency. In such embodiments, the frequency
processing module could detect weak or unsteady frequencies in the
received frequency information.
[0016] The system preferably uses the frequency information to
develop a protocol that implements a frequency at a corresponding
duration. Typically the frequency information is fed into a
treatment module that develops the protocol as a function of a
portion of the frequency information. As used herein, a protocol
that "implements" a frequency at a duration is one that instructs a
device to resonate at the frequency for the duration specified. A
protocol could be configured to implement a plurality of
frequencies at a plurality of durations if need be. Such
frequencies could be implemented using any suitable device that
could be directed to resonate at a frequency, for example an audio
speaker, a laser, a light source, a pulsed electromagnetic field
(PEMF) device, a SCALAR wave device, a transcutaneous electrical
nerve stimulation (TENS) device, a microcurrent electrical nerve
stimulation (MENS) device, or a vibrational motor that transmits a
tactilely sensible vibrational frequency. In some embodiments, the
system could construct a protocol to implement a weakly detected
frequency in the bio-acoustic information. In simple embodiments,
the system could construct a protocol to implement the fundamental
frequency for the period of time that the voice sample was
recorded. The system could also construct a protocol to implement a
harmonic of the fundamental frequency, multiple harmonics of the
fundamental frequency, or could implement the fundamental frequency
via different modalities (e.g. via an audio sound and also a visual
light). In some embodiments, the protocol could implement the
frequency by aiming the frequency at a portion of the person's
body, for example the person's ears, eyes, nose, throat, chest, or
hips. In other embodiments, the protocol could implement the
frequency by aiming the frequency at multiple portions of the
person's body, and could implement different frequencies at
different portions of the person's body (e.g. directing the
fundamental frequency towards the person's ears, and a harmonic of
the fundamental frequency towards the person's diaphragm). Where a
plurality of frequencies are directed at a person, each frequency
could be implemented at a different duration and/or duty cycle.
[0017] The system could receive several sets of frequency
information from a person, for example through several samples of
data collected from the sensors one after another (e.g. within 5
minutes of one another) or through several historical samples of
data submitted over time and saved to an archived database (e.g.
one week, one month, or even one year after one another). Several
protocols could be developed, one for each set of frequency
information, and/or each type of frequency information. In some
embodiments, the system could be configured to compare a first set
of frequency information with a second set of frequency information
in order to develop a follow-up protocol. For example, where the
system is configured to strengthen a fundamental frequency of a
person, the system could detect a decibel level of the person's
fundamental frequency in accordance with the first set of frequency
information, and the decibel level of the person's fundamental
frequency in accordance with the second set of frequency
information, and could increase/decrease the intensity of the
implemented frequency depending upon if the fundamental frequency
decreased/increased in decibel level, respectively. In some
embodiments, the system could be configured to save the received
frequency information to a database to provide a historical
frequency map of the person. Such historical frequency maps could
be used to develop person-specific protocols.
[0018] For example, the system could determine that the person
regains an intensity in voice samples or frequency feedback when a
first frequency is implemented at the person, but fails to regain
an intensity (or does not gain as large an intensity) when a second
frequency is implemented at the person. The system could then favor
implementing the first frequency at the person when such an
analysis is performed. In some embodiments, the system could save
the raw frequency information into the database, but preferably the
system only saves historical analysis information to the database
to save space. Exemplary analysis information includes a
fundamental frequency of the person, a set of harmonic frequencies
that are known to strengthen the fundamental frequency of the
person, the highest recorded decibel frequency, the lowest recorded
frequency, the types of frequency recorded and implemented at the
person, and a preferred fundamental frequency of the person. The
system could save the frequency information in a variety of ways,
for example by molecular weight and frequency correlations, by
genetic code and wavelength correlations, and/or as light emission
spectral analysis data.
[0019] Once one or more protocols have been developed by the
treatment module, the system could transmit the protocol to a
computerized control module that implements the frequency for the
corresponding duration at the person. Contemplated control modules
include cellular telephones and other wearable or mountable
computer systems functionally coupled to one or more effectors, or
implantable devices that are functionally coupled to one or more
effectors. As used herein, an "effector" comprises a device that
can implement a frequency, such as an audio speaker, a light source
(e.g. an LED or laser), a vibrational source, a PEMF device, and a
SCALAR wave device. The control module could then implement the
protocol at the person in order to affect the health of the person,
for example by a frequency by implementing the frequency and/or a
harmonic of the frequency, or by cancelling or decreasing
frequencies that are higher than a threshold value through
frequency-cancelling systems (e.g. noise-cancelling systems). Thus,
the control module follows the instructions of the protocol and
implements at least one frequency for a specified duration once a
protocol has been received. In some embodiments, the control module
could perform a frequency sweep of the person to ensure that the
treatment is effective. For example, the control module could
activate electrodes coupled to a skin of the person, or embedded
within the person, which will sweep through a specified range of
frequencies and test for harmonic resonance via
conductance/HRV/GSR. The control module could be configured to test
for resonance among different types of frequencies, for example a
bio-electric frequency analysis in response to an acoustic
frequency applied at the person. The control module could monitor
the person's body's response to determine resonance, and could
allow a monitoring device to generate even more precise frequency
sets and series for treatment over time. In some embodiments, the
system could be configured to implement the frequency upon a group
of people, and detect frequency feedback reverberating from the
people.
[0020] Various objects, features, aspects and advantages of the
inventive subject matter will become more apparent from the
following detailed description of preferred embodiments, along with
the accompanying drawing figures in which like numerals represent
like components. For example, instead of implementing frequencies
at the person, the system could be configured to implement the
frequency into food or water, which could then be ingested by the
person. In other embodiments, the system could be configured to
implement the frequency into an ingestible medium or into a
wearable medium (e.g. a quartz crystal), which is then transported
to the person for wearing.
[0021] The following discussion provides many example embodiments
of the inventive subject matter. Although each embodiment
represents a single combination of inventive elements, the
inventive subject matter is considered to include all possible
combinations of the disclosed elements. Thus if one embodiment
comprises elements A, B, and C, and a second embodiment comprises
elements B and D, then the inventive subject matter is also
considered to include other remaining combinations of A, B, C, or
D, even if not explicitly disclosed.
BRIEF DESCRIPTION OF THE DRAWING
[0022] FIG. 1 is an exemplary system distributed on a computer
system and a portable device at the person
[0023] FIG. 2 is a software schematic of the computer system and
portable device of FIG. 1.
[0024] FIG. 3 is a flowchart of steps to affect the health of the
person in response to received bio-acoustic information.
DETAILED DESCRIPTION
[0025] As used in the description herein and throughout the claims
that follow, the meaning of "a," "an," and "the" includes plural
reference unless the context clearly dictates otherwise. Also, as
used in the description herein, the meaning of "in" includes "in"
and "on" unless the context clearly dictates otherwise.
[0026] As used herein, and unless the context dictates otherwise,
the term "coupled to" is intended to include both direct coupling
(in which two elements that are coupled to each other contact each
other) and indirect coupling (in which at least one additional
element is located between the two elements). Therefore, the terms
"coupled to" and "coupled with" are used synonymously.
[0027] Unless the context dictates the contrary, all ranges set
forth herein should be interpreted as being inclusive of their
endpoints, and open-ended ranges should be interpreted to include
commercially practical values. Similarly, all lists of values
should be considered as inclusive of intermediate values unless the
context indicates the contrary.
[0028] The recitation of ranges of values herein is merely intended
to serve as a shorthand method of referring individually to each
separate value falling within the range. Unless otherwise indicated
herein, each individual value is incorporated into the
specification as if it were individually recited herein. All
methods described herein can be performed in any suitable order
unless otherwise indicated herein or otherwise clearly contradicted
by context. The use of any and all examples, or exemplary language
(e.g. "such as") provided with respect to certain embodiments
herein is intended merely to better illuminate the invention and
does not pose a limitation on the scope of the invention otherwise
claimed. No language in the specification should be construed as
indicating any non-claimed element essential to the practice of the
invention.
[0029] In some embodiments, the numerical parameters set forth in
the written description and attached claims are approximations that
can vary depending upon the desired properties sought to be
obtained by a particular embodiment. In some embodiments, the
numerical parameters should be construed in light of the number of
reported significant digits and by applying ordinary rounding
techniques. Notwithstanding that the numerical ranges and
parameters setting forth the broad scope of some embodiments of the
invention are approximations, the numerical values set forth in the
specific examples are reported as precisely as practicable. The
numerical values presented in some embodiments of the invention may
contain certain errors necessarily resulting from the standard
deviation found in their respective testing measurements.
[0030] Groupings of alternative elements or embodiments of the
invention disclosed herein are not to be construed as limitations.
Each group member can be referred to and claimed individually or in
any combination with other members of the group or other elements
found herein. One or more members of a group can be included in, or
deleted from, a group for reasons of convenience and/or
patentability. When any such inclusion or deletion occurs, the
specification is herein deemed to contain the group as modified
thus fulfilling the written description of all Markush groups used
in the appended claims.
[0031] It should be noted that any language directed to a computer
system should be read to include any suitable combination of
computing devices, including servers, interfaces, systems,
databases, agents, peers, engines, controllers, or other types of
computing devices operating individually or collectively. One
should appreciate the computing devices comprise a processor
configured to execute software instructions stored on a tangible,
non-transitory computer readable storage medium (e.g., hard drive,
solid state drive, RAM, flash, ROM, etc.). The software
instructions preferably configure the computing device to provide
the roles, responsibilities, or other functionality as discussed
below with respect to the disclosed apparatus. In especially
preferred embodiments, the various servers, systems, databases, or
interfaces exchange data using standardized protocols or
algorithms, possibly based on HTTP, HTTPS, AES, public-private key
exchanges, web service APIs, known financial transaction protocols,
or other electronic information exchanging methods. Data exchanges
preferably are conducted over a packet-switched network, the
Internet, LAN, WAN, VPN, or other type of packet switched
network.
[0032] One should appreciate that the disclosed techniques provide
many advantageous technical effects including the ability to
detect, and improve, the health status of a person via frequency
analysis.
[0033] The inventive subject matter provides apparatus, systems,
and methods to detect, and improve, the health status of a person
via bio-acoustic information.
[0034] In FIG. 1, a system 100 includes an analysis computer system
110, a network 120, a control computer system 130, and a person
140.
[0035] Analysis computer system 110 is shown euphemistically as a
single computer tower having a processor and a non-transient memory
with software configured to perform analysis and protocol
development on a voice sample or a set of frequency information,
but analysis computer system 110 could be distributed among a
plurality of computers, or could be implemented on a network cloud
without departing from the scope of the current invention. Data
source 112 is functionally coupled to computer system 110 and
stores data collected and/or analyzed by analysis computer system
110, such as frequency data, health status reports, profile data,
and/or preferences. Such data sources typically store collected
information in a text file, such as a log, csv, JSON or an XML
file. Data source 112 could be a DBMS, such as SQL.RTM. or
Oracle.RTM., which keeps data in a structured environment, and
typically keeps metadata log files on its datasets. While data
source 112 is shown euphemistically as a single data repository,
any number of data sources and any type of data source could be
used without departing from the scope of the invention. The data
sources coupled to computer 110 could number in the hundreds or
even thousands, to provide a large corpus of datasets that may or
may not be known to computer system 110, where many of the data
sources might use different types of data structures.
[0036] Analysis computer system 110 is functionally coupled to
frequency data collectors 132 and 134 in a manner such that
analysis computer system 110 could receive or retrieve frequency
datasets from frequency data collector 132. While analysis computer
system 110 could be physically coupled to control computer system
130, analysis computer system 110 is preferably functionally
coupled to each data source through a network link 120, such as an
intranet or the Internet. Network 120 is shown euphemistically has
a cloud of computer systems functionally coupled with one another,
such as an intranet or the Internet, but could be any data
connection between analysis computer system 110 and control
computer system 130. Analysis computer system 110 is configured to
retrieve datasets from one or more control computer systems 130,
and consolidate the retrieved datasets into one or more new
datasets, which are saved in data repository 112--a non-transitory
computer readable medium functionally coupled to analysis computer
system 110. Data repository 112 could also be considered a data
source having one or more datasets that analysis computer system
110 could draw upon. Data repository 112 could also contain a
historical log that tracks all retrieving, profiling, querying and
conforming of datasets, attributes of datasets, and associated user
entity interactions to enable the system to learn from itself by
analyzing trends found in the historical log.
[0037] Typically, data source 112 stores data collected from remote
sensors, such as frequency data collectors 132 and 134 coupled to
control computer system 130, which is functionally coupled to
analysis computer system 110 via network 120. Control computer
system 130 is shown as a mobile telephone, but could be a wearable
computer device (e.g. a badge, a pin, a button, a cufflink, a
watch, a bracelet, a necklace, an elbow pad, or a piece of
clothing), an implantable device, or could be coupled to a portion
of a skin of person 140, such as a bracelet, a belt, or an
electrodermal heart rate monitor. In some embodiments, control
computer system 130 is distributed about the body of person 140,
such as a mobile computer system and several Bluetooth-connected
devices configured to transmit frequencies at person 140. Here,
control system 130 has frequency data collectors 132 and 134, and
an effector 134. While frequency data collector 132 is shown
euphemistically as a single microphone, and frequency data
collector 134 is shown euphemistically as a single electrodermal
patch coupled to an arm of person 140, frequency data collectors
132 and 134 could comprise one or more sensors that receive
frequency datasets from person 140, for example an electrodermal
sensor, electroencephalogram, camera, infrared sensor, or antenna.
As used herein, a "frequency dataset" is a dataset that contains
oscillating wave data collected by a sensor. One or more sensors
could be implanted within person 140, but is preferably wearable,
placed in a pocket, or is coupled to a portion of person 140's
skin, such as a bracelet or a belt. Frequency data collectors 132
and/or 134 could comprise a plurality of sensors that collectively
communicate frequency data sets to computer system 130. In some
embodiments, frequency data collectors 132 and 134 collect
frequency data passively, for example by instructing person 140 to
provide a voice sample, but in preferred embodiments frequency data
collectors 132 and 134 collect frequency feedback data resonating
from person 140 in response to frequencies implemented by effector
136.
[0038] Effector 136 is shown euphemistically as a single audio
speaker, but could be any combination of suitable devices that
transmit frequency information at person 140, for example a laser,
a light source, a pulsed electromagnetic field (PEMF) device, a
SCALAR wave device, a transcutaneous electrical nerve stimulation
(TENS) device, a microcurrent electrical nerve stimulation (MENS)
device, or a vibrational motor that transmits a tactilely sensible
vibrational frequency. Control system 130 transmits a protocol to
effector 136 to transmit a frequency to person 140, and remote
computer system 130 then collects frequency datasets via frequency
data collectors 132 and 134 and transmits at least a portion of the
datasets to analysis computer system 110 for analysis. In some
embodiments, remote computer system 130 could transform the raw
collected frequency datasets, for example by gleaning only
bioacoustic data from a voice sample and transmitting only the
bioacoustic data to analysis computer system 110, however in other
embodiments remote computer system 130 could be configured to
transmit raw frequency datasets to analysis computer system
110.
[0039] Analysis computer system 110 could also be configured to
derive frequency information extracted from the frequency sample.
In preferred embodiments, the frequency information is analyzed by
a computerized frequency processing module which derives frequency
information from the frequency dataset(s). Preferably, a full
spectral analysis of the frequency dataset(s) is performed in order
to extract as much non-linguistic frequency information as
possible. Exemplary frequency information includes, for example, a
highest dB (decibel) reading, a lowest dB reading, cumulative
octave readings, harmonics, and logical groupings of frequencies.
In some embodiments, the frequency processing module could be
configured to derive a fundamental frequency within the frequency
feedback sample. As used herein, a "fundamental frequency"
comprises the lowest frequency produced by the oscillation of an
object. In some embodiments, the frequency processing module could
derive the fundamental frequency to be the lowest frequency
detected within the frequency dataset(s), and in other embodiments,
the frequency processing module could derive the fundamental
frequency to be the lowest frequency of a minimum threshold volume
level, for example over 60 dB or over 40% of the loudest sound
within the audio sample. In other embodiments, the frequency
processing module could derive the fundamental frequency to be the
strongest frequency detected within a portion of the frequency
feedback sample, or the strongest whole-number frequency detected
within a portion of the frequency feedback sample.
[0040] In some embodiments, the frequency processing module could
be configured to diagnose a disease state of the person. For
example, the frequency processing module could be configured to
detect whether a portion of the person's throat is injured by
detecting which frequencies the person sings well vs. the
frequencies the person sings poorly. (e.g. a person might sing a C
note at a high decibel level but an F# note at a low decibel level
or at an uneven, scratchy decibel) In such embodiments, the
frequency processing module could detect weak or unsteady
frequencies in the frequency dataset(s) and implement a protocol to
strengthen the weak or unsteady frequencies. For example, a person
could sing a range of notes, and analysis computer system 110 could
select an octave of notes (e.g. the mean, median, or average
octave) and detect that the person's C note and D note is less than
a threshold level (e.g. 30% weaker) than the average decibel level
for the selected octave of notes, while the person's A note is more
than a threshold level (e.g. 30% stronger) than the average decibel
level for the selected octave of notes.
[0041] The frequency information is then preferably used to develop
a protocol that implements a frequency at a corresponding duration.
Typically the frequency information is fed into a treatment module
that develops the protocol as a function of a portion of the
frequency information. As used herein, a protocol that "implements"
a frequency at a duration is one that instructs a device to
resonate at the frequency for the duration specified. A protocol
could implement a plurality of frequencies at a plurality of
durations if need be. Such frequencies could be implemented using
any suitable device that could be directed to resonate at a
frequency, for example an audio speaker, a laser, a light source, a
pulsed electromagnetic field (PEMF) device, a SCALAR wave
frequency, or a vibrational motor that transmits a tactilely
sensible vibrational frequency. In some embodiments, the system
could construct a protocol to implement a weakly detected frequency
in the frequency information. In simple embodiments, the system
could construct a protocol to implement the fundamental frequency
for the period of time that the frequency feedback sample was
recorded. The system could also construct a protocol to implement a
harmonic of the fundamental frequency, multiple harmonics of the
fundamental frequency, or could implement the fundamental frequency
via different modalities (e.g. via an audio sound and also a visual
light). In some embodiments, the protocol could implement the
frequency by aiming the frequency at a portion of the person's
body, for example the person's ears, eyes, nose, throat, chest, or
hips. In other embodiments, the protocol could implement the
frequency by aiming the frequency at multiple portions of the
person's body, and could implement different frequencies at
different portions of the person's body (e.g. directing the
fundamental frequency towards the person's ears, and a harmonic of
the fundamental frequency towards the person's diaphragm). Where a
plurality of frequencies are directed at a person, each frequency
could be implemented at a different duration, phase, and/or duty
cycle.
[0042] In some embodiments, analysis computer system 110 could be
configured to transmit the frequency protocol to frequency infuser
140, which is shown here as a speaker that implements frequencies
to frequency medium 142. Frequency infuser 140 is shown
euphemistically as a speaker, but could be any suitable effector.
Frequency medium 142 is shown euphemistically as a set of pills
that could then be sent to person 140 to be ingested, but could be
any sort of medium that absorbs frequencies from an effector, such
as a crystal (e.g. quartz or amethyst) that could be worn or a
bracelet.
[0043] FIG. 2 shows a software schematic of modules within analysis
computer system 110, having an frequency information receiver 210,
an analysis module 220, a treatment module 230, an effector
transmitter 240, and an optional frequency processing module
212.
[0044] Frequency information receiver 210 is a software module that
is configured to collect any number of frequency datasets from any
number of data sources coupled to analysis computer system 110.
Frequency information receiver 210 could be configured to process
frequency datasets collected from a user entity through an
interface module (not shown, for example from a user interface (not
shown) or from a calling computer system (not shown). In some
embodiments, the user might request analysis computer system 110 to
analyze received frequency dataset information, while in other
embodiments analysis computer system 110 could automatically
instruct a remote control computer system to poll frequency dataset
information from the person (preferably feedback frequency dataset
information) in accordance with a schedule. In some embodiments,
raw frequency datasets are first processed by frequency processing
module 212 to analyze only the frequency information from a
received dataset (e.g. analyzing only the bioacoustic information
contained within a voice sample).
[0045] Analysis module 220 could be configured to analyze the
received frequency dataset information as a function of the corpus
of datasets in database 222 and derive and determine potential
relationships between attributes. Frequency information receiver
210 could receive several sets of frequency information from a
person, for example through several samples of data collected from
the sensors one after another (e.g. within 5 minutes of one
another) or through several historical samples of data submitted
over time and saved to an archived database (e.g. one week, one
month, or even one year after one another). Analysis module 220
could then compare the received frequency dataset information
against historical frequency dataset information from the person,
or from other persons with similar characteristics. The similar
characteristics could be selected through an administrator user
interface. For example, a user could wish to compare the frequency
feedback dataset against frequency characteristics of other users
who have the same racial background, the same age and sex, and/or
the same profession. In some embodiments, a user could compare
his/her own frequency feedback information against a selected ideal
frequency dataset.
[0046] The treatment module 230 then generally develops a protocol
as a function of the comparison of the received frequency dataset
information against the saved frequency dataset information in
database 222. Several protocols could be developed, one for each
set of frequency information, and/or each type of frequency
information. In some embodiments, treatment module 230 could be
configured to compare a first set of frequency information with a
second set of frequency information in order to develop a follow-up
protocol. For example, where treatment module 230 is configured to
strengthen a fundamental frequency of a person, treatment module
230 could detect a decibel level of the person's fundamental
frequency in accordance with the first set of frequency
information, and the decibel level of the person's fundamental
frequency in accordance with the second set of frequency
information, and could increase/decrease the intensity of the
implemented frequency depending upon if the fundamental frequency
decreased/increased in decibel level, respectively. In some
embodiments, treatment module 230 could be configured to save the
received frequency information to a database to provide a
historical frequency map of the person. Such historical frequency
maps could be used to develop person-specific protocols. In other
embodiments, treatment module 230 might seek to adjust the person's
frequency information to closely mirror a previously selected
"idealized frequency map," strengthening certain frequencies and
cancelling other frequencies such that the person's feedback more
closely resembles the idealized frequency map previously selected
(e.g. by the person through a user interface on the control
computer system or by an administrator "trainer").
[0047] In other embodiments, treatment module 230 could determine
that the person regains an intensity in voice samples or frequency
feedback when a first frequency is implemented at the person, but
fails to regain an intensity (or does not gain as large an
intensity) when a second frequency is implemented at the person.
Treatment module 230 could then favor implementing the first
frequency at the person when such an analysis is performed. In some
embodiments, treatment module 230 could save the raw frequency
information into the database 222, but preferably the system only
saves historical analysis information to the database 222 to save
space. Exemplary analysis information includes a fundamental
frequency of the person, a set of harmonic frequencies that are
known to strengthen the fundamental frequency of the person, the
highest recorded decibel frequency, the lowest recorded frequency,
the types of frequency recorded and implemented at the person, and
a preferred fundamental frequency of the person. Treatment module
230 could save the frequency information in a variety of ways, for
example by molecular weight and frequency correlations, by genetic
code and wavelength correlations, and/or as light emission spectral
analysis data.
[0048] In some embodiments, the protocol could implement a
frequency at different modalities. For example, two frequencies
could be directed at a portion of the person's body/tissue (e.g.
the person's diaphragm, head, or wrist) via electrodes. A positive
electrode and a negative electrode could transmit a frequency that
crosses to create a targeted location of wave interference. The
wave interference could be the fundamental frequency the protocol
is designed to strengthen or could cancel a frequency that the
protocol is designed to weaken (e.g. above a predetermined
threshold decibel level). In this manner, portions within the body
of the person could be targeted to receive frequency information
via the protocol without needing to implant an effector within the
person's targeted organ.
[0049] Once one or more protocols have been developed, one or more
protocols could then be sent to control module 130 by effector
transmitter 240. Effector transmitter 240 transmits one or more
protocols to the control module for implementing frequencies at the
person, possibly sequentially or in parallel with one another. In
some embodiments, the protocols are transmitted to cause resonance
with one another. Preferably, control module collects feedback
frequency datasets while the protocol is being implemented, so that
analysis module 220 could ensure that the effector frequencies are
being properly implemented at the person.
[0050] In some embodiments, effector transmitter 240 could transmit
the protocol to a frequency infuser 250, which is coupled to a
system that infuses a frequency medium with the transmitted
frequency. In this manner, the treatment could be performed upon a
frequency medium, which then is sent to the person who is analyzed.
In other embodiments, an idealized set of frequency data selected
by a user of control module 130 could be analyzed by analysis
module 220, and the fundamental frequency of that person could then
be sent to frequency infuser 250 to infuse a medium, such as a pill
or a crystal to be sent to the person. In this manner, the person
can ingest a medium infused with the fundamental frequency of an
idealized set of frequency data (e.g. from the person's hero), or
can wear a crystal imbued with the frequency information.
[0051] In FIG. 3 an exemplary series of steps 300 shows steps that
could be performed in order to improve the health of a person. In
optional step 301, the system transmits a frequency protocol to a
control module to ensure that frequency feedback information is
collected by frequency data collectors at the person. In optional
step 302, a system could convert raw sensor data into frequency
information. In other embodiments, the raw sensor data is simply
sent as frequency information to the system in step 310. In either
case, the system receives frequency information in step 310 (either
raw or processed), and analyzes the frequency information in step
320 to develop a pattern signature of the received frequency
dataset. The system then compares the pattern signature to a
signature database of frequency information. Many different types
of analysis' techniques could be applied during this comparison.
For example, in step 332 the system could derive a fundamental
frequency of the person, in step 334 the system could derive a
physical status of the person, and/or in step 334 the system could
derive a difference of the person's current fundamental frequency
from an idealized fundamental frequency. Using this information,
the system could develop a protocol that implements a frequency at
a corresponding duration in step 340. The protocol could then
transmitted to a control module in 350, which then implements the
frequency at the person or to a frequency medium.
[0052] It should be apparent to those skilled in the art that many
more modifications besides those already described are possible
without departing from the inventive concepts herein. The inventive
subject matter, therefore, is not to be restricted except in the
scope of the appended claims. Moreover, in interpreting both the
specification and the claims, all terms should be interpreted in
the broadest possible manner consistent with the context. In
particular, the terms "comprises" and "comprising" should be
interpreted as referring to elements, components, or steps in a
non-exclusive manner, indicating that the referenced elements,
components, or steps may be present, or utilized, or combined with
other elements, components, or steps that are not expressly
referenced. Where the specification claims refers to at least one
of something selected from the group consisting of A, B, C . . .
and N, the text should be interpreted as requiring only one element
from the group, not A plus N, or B plus N, etc.
* * * * *