U.S. patent application number 13/443871 was filed with the patent office on 2013-08-15 for rehabilitation coaching method and rehabilitation coaching system.
This patent application is currently assigned to Industrial Technology Research Institute. The applicant listed for this patent is Shu-Yuan Chang, Ji-Ding Chen, Rong-Rong Chen, Yueh-Hsuan Lee, Hsing-Chen Lin, Tung-Hung Lu. Invention is credited to Shu-Yuan Chang, Ji-Ding Chen, Rong-Rong Chen, Yueh-Hsuan Lee, Hsing-Chen Lin, Tung-Hung Lu.
Application Number | 20130209978 13/443871 |
Document ID | / |
Family ID | 48868386 |
Filed Date | 2013-08-15 |
United States Patent
Application |
20130209978 |
Kind Code |
A1 |
Chen; Rong-Rong ; et
al. |
August 15, 2013 |
REHABILITATION COACHING METHOD AND REHABILITATION COACHING
SYSTEM
Abstract
A rehabilitation coaching method and a rehabilitation coaching
system are provided. The method includes setting an exercise rhythm
according to personalized exercise rhythm data for the user, and
outputting the exercise rhythm to coach the user to do a
rehabilitation exercise. The method also includes obtaining a total
oxygen consumption rate according to the profile of the user, the
time of doing the rehabilitation exercise and the exercise rhythm,
and obtaining an exercise intensity according to the resting heart
rate of the user and an average heart rate of the user during the
rehabilitation exercise. The method further includes obtaining a
recommended exercise rhythm according to the exercise intensity and
the total oxygen consumption rate, and updating the personalized
exercise rhythm data for the user according to the recommended
exercise rhythm.
Inventors: |
Chen; Rong-Rong; (Taipei
City, TW) ; Chang; Shu-Yuan; (New Taipei City,
TW) ; Chen; Ji-Ding; (Yunlin County, TW) ;
Lee; Yueh-Hsuan; (Hsinchu County, TW) ; Lin;
Hsing-Chen; (Taichung City, TW) ; Lu; Tung-Hung;
(Yilan County, TW) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Chen; Rong-Rong
Chang; Shu-Yuan
Chen; Ji-Ding
Lee; Yueh-Hsuan
Lin; Hsing-Chen
Lu; Tung-Hung |
Taipei City
New Taipei City
Yunlin County
Hsinchu County
Taichung City
Yilan County |
|
TW
TW
TW
TW
TW
TW |
|
|
Assignee: |
Industrial Technology Research
Institute
Hsinchu
TW
|
Family ID: |
48868386 |
Appl. No.: |
13/443871 |
Filed: |
April 10, 2012 |
Current U.S.
Class: |
434/247 |
Current CPC
Class: |
A61B 5/024 20130101;
A61B 2505/09 20130101; A61B 5/1118 20130101; A61B 5/7278 20130101;
A61B 5/0833 20130101 |
Class at
Publication: |
434/247 |
International
Class: |
A63B 71/00 20060101
A63B071/00 |
Foreign Application Data
Date |
Code |
Application Number |
Feb 9, 2012 |
TW |
101104258 |
Claims
1. A rehabilitation coaching method for coaching a user to do a
rehabilitation exercise, the rehabilitation coaching method
comprising: detecting a resting heart rate of the user by an
electrocardiograph sensor; setting an exercise rhythm according to
a personalized exercise rhythm data corresponding to the user;
outputting the exercise rhythm to coach the user to do the
rehabilitation exercise; detecting an average heart rate of the
user during the rehabilitation exercise by the electrocardiograph
sensor; obtaining a total oxygen consumption of the user during the
rehabilitation exercise according to a profile of the user, an
exercise time of doing the rehabilitation exercise and the exercise
rhythm, wherein the profile of the user includes a danger level of
the user; obtaining an exercise intensity corresponding to the user
according to the resting heart rate of the user and the average
heart rate of the user during the rehabilitation exercise;
obtaining a recommended exercise rhythm according to the exercise
intensity corresponding to the user, the total oxygen consumption
of the user during the rehabilitation exercise and the danger level
of the user; and updating the personalized exercise rhythm data
corresponding to the user based on the recommended exercise rhythm
data.
2. The rehabilitation coaching method as claimed in claim 1,
wherein the profile of the user includes a weight of the user, and
wherein the step to obtaining the total oxygen consumption of the
user during the rehabilitation exercise according to the profile of
the user, the exercise time and the exercise rhythm: calculating
the total oxygen consumption of the user during the rehabilitation
exercise according to the weight of the user, the exercise time and
the exercise rhythm.
3. The rehabilitation coaching method as claimed in claim 1,
wherein the profile of the user includes an age of the user, and
wherein the step to calculating the exercise intensity
corresponding to the user according to the resting heart rate of
the user and the average heart rate of the user during the
rehabilitation exercise comprises: estimating a maximum heart rate
corresponding to the user according to the age of the user;
calculating a reserved heart rate corresponding to the user
according to the maximum heart rate and the resting heart rate; and
calculating the exercise intensity corresponding to the user
according to the average heart rate of the user during the
rehabilitation exercise, the resting heart rate and the reserved
heart rate corresponding to the user.
4. The rehabilitation coaching method as claimed in claim 2,
further comprising obtaining a total calorie consumption of the
user during the rehabilitation exercise according to the total
oxygen consumption of the user during the rehabilitation exercise,
wherein the step of obtaining the recommended exercise rhythm
according to the exercise intensity corresponding to the user and
the total oxygen consumption of the user during the rehabilitation
exercise comprises obtaining the recommended exercise rhythm
according to the exercise intensity corresponding to the user and
the total calorie consumption of the user during the rehabilitation
exercise.
5. The rehabilitation coaching method as claimed in claim 4,
wherein the step of obtaining the recommended exercise rhythm
according to the exercise intensity corresponding to the user and
the total oxygen consumption of the user during the rehabilitation
exercise comprises: calculating a total calorie consumption target
for the user according to the danger level of the user, the
exercise intensity corresponding to the user and the total calorie
consumption of the user during the rehabilitation exercise;
calculating a personalized total oxygen consumption target for the
user according to the total calorie consumption target, the weight
of the user and the exercise time; and calculating the recommended
exercise rhythm according to the personalized total oxygen
consumption target.
6. The rehabilitation coaching method as claimed in claim 1,
wherein the step of outputting the exercise rhythm to coach the
user to do the rehabilitation exercise according to the
personalized exercise rhythm data of the user comprises:
determining whether the personalized exercise rhythm data
corresponding to the user is stored in a memory unit; when the
personalized exercise rhythm data corresponding to the user is
stored in the memory unit, reading the personalized exercise rhythm
data corresponding to the user from the memory unit and setting the
exercise rhythm according to the personalized exercise rhythm data;
and when the personalized exercise rhythm data corresponding to the
user is not stored in the memory unit, setting the exercise rhythm
according to a standard exercise rhythm data.
7. The rehabilitation coaching method as claimed in claim 1,
wherein the step of outputting the exercise rhythm to coach the
user to do the rehabilitation exercise comprises: outputting a
perceived signal according to the exercise rhythm to coach the user
to do the rehabilitation exercise according to the perceived
signal.
8. The rehabilitation coaching method as claimed in claim 7,
wherein the perceived signal is a sound, an image, a vibration or a
combination thereof.
9. A rehabilitation coaching system for coaching a user to do a
rehabilitation exercise, the rehabilitation coaching system
comprising: a sensing signal receiver, receiving a resting heart
rate of the user and an average heart rate of the user during the
rehabilitation exercise; a memory unit, storing a profile of the
user and a personalized exercise rhythm data corresponding to the
user; a personalized rehabilitation coaching unit, coupled to the
sensing signal receiver and the memory unit and setting an exercise
rhythm according to the personalized exercise rhythm data
corresponding to the user; and an output unit, coupled to the
personalized rehabilitation coaching unit and outputting the
exercise rhythm to coach the user to do the rehabilitation
exercise, wherein the personalized rehabilitation coaching unit
further obtains a total oxygen consumption of the user during the
rehabilitation exercise according to the profile of the user, an
exercise time of doing the rehabilitation exercise and the exercise
rhythm, wherein the profile of the user includes a danger level of
the user, wherein the personalized rehabilitation coaching unit
obtains an exercise intensity corresponding to the user according
to the resting heart rate of the user and the average heart rate of
the user during rehabilitation exercise, wherein the personalized
rehabilitation coaching unit obtains a recommended exercise rhythm
according to the exercise intensity corresponding to the user, the
total oxygen consumption of the user during the rehabilitation
exercise, and the danger level of the user, wherein the
personalized rehabilitation coaching unit updates the personalized
exercise rhythm data corresponding to the user based on the
recommended exercise rhythm data.
10. The rehabilitation coaching system as claimed in claim 9,
wherein the personalized rehabilitation coaching unit includes: an
exercise rhythm setting module, reading the personalized exercise
rhythm data corresponding to the user from the memory unit to set
the exercise rhythm.
11. The rehabilitation coaching system as claimed in claim 10,
wherein the profile of the user includes a weight of the user, and
wherein the personalized rehabilitation coaching unit further
includes: an exercise oxygen consumption calculating module,
calculating the total oxygen consumption of the user during the
rehabilitation exercise according to the weight of the user, the
exercise time and the exercise rhythm.
12. The rehabilitation coaching system as claimed in claim 11,
wherein the profile of the user includes an age of the user, and
wherein the personalized rehabilitation coaching unit further
comprises: an exercise intensity calculating module, estimating a
maximum heart rate corresponding to the user according to the age
of the user and calculating a reserved heart rate corresponding to
the user according to the maximum heart rate and the resting heart
rate, wherein the exercise intensity calculating module calculates
the exercise intensity corresponding to the user according to the
average heart rate of the user during the rehabilitation exercise,
the resting heart rate and the reserved heart rate of the user.
13. The rehabilitation coaching system as claimed in claim 12,
wherein the personalized rehabilitation coaching unit further
includes: a calorie consumption calculating module, obtaining a
total calorie consumption of the user during the rehabilitation
exercise according to the total oxygen consumption of the user
during the rehabilitation exercise; and a personalized norm
calculating module, obtaining the recommended exercise rhythm
according to the exercise intensity corresponding to the user and
the total calorie consumption of the user during the rehabilitation
exercise.
14. The rehabilitation coaching system as claimed in claim 13,
wherein the personalized norm calculating module calculates a total
calorie consumption target of the user according to the danger
level of the user, the exercise intensity corresponding to the user
and the total calorie consumption of the user during the
rehabilitation exercise, wherein the personalized norm calculating
module calculates a personalized total oxygen consumption target of
the user according to the total calorie consumption target, the
weight of the user and the exercise time, and wherein the
personalized norm calculating module calculates the recommended
exercise rhythm according to the personalized total oxygen
consumption target corresponding to the user.
15. The rehabilitation coaching system as claimed in claim 10,
wherein the exercise rhythm setting module determines whether the
personalized exercise rhythm data corresponding to the user is
stored in the memory unit, when the personalized exercise rhythm
data for the user is stored in the memory unit, the exercise rhythm
setting module reads the personalized exercise rhythm data
corresponding to the user, sets the exercise rhythm according to
the personalized exercise rhythm data, and when the personalized
exercise rhythm data corresponding to the user is not stored in the
memory unit, the exercise rhythm setting module sets the exercise
rhythm according to a standard exercise rhythm data.
16. The rehabilitation coaching system as claimed in claim 9,
wherein the output module outputs a perceived signal according to
the exercise rhythm to coach the user to do the rehabilitation
exercise according to the perceived signal.
17. The rehabilitation coaching system as claimed in claim 16,
wherein the perceived signal is a sound, an image, a vibration or a
combination thereof.
18. The rehabilitation coaching system as claimed in claim 9,
further comprising: an electrocardiograph sensor, detecting the
resting heart rate of the user and detecting the average heart rate
of the user during the rehabilitation exercise.
19. The rehabilitation coaching system as claimed in claim 11,
further comprising: a weight sensor, detecting the weight of the
user.
20. The rehabilitation coaching system as claimed in claim 14,
further comprising: an input unit, inputting the weight of the user
and the danger level of the user.
Description
CROSS-REFERENCE TO RELATED APPLICATION
[0001] This application claims the priority benefit of Taiwan
application serial no. 101104258, filed on Feb. 9, 2012. The
entirety of the above-mentioned patent application is hereby
incorporated by reference herein and made a part of this
specification.
BACKGROUND
[0002] 1. Technical Field
[0003] The disclosure relates to a rehabilitation coaching method
and a rehabilitation coaching system using the same.
[0004] 2. Related Art
[0005] Generally, when a user does a rehabilitation exercise, the
user selects an intensity of the rehabilitation exercise according
to a normal exercise mode. For example, when doing a heart
rehabilitation exercise, the user selects the intensity suitable
for the rehabilitation exercise based on his or her age or gender
by comparing with an index in a norm table of maximal oxygen
consumption (VO.sub.2Max). However, the norm table of VO.sub.2Max
is made by sampling and categorizing oxygen consumption conditions
of people, and thus the table can not reflect the user's personal
physical conditions, such as the user's personal resting heart
rate, the user's average heart rate during exercising and the
user's current danger level of heart. Thus, according to the norm
table of VO.sub.2Max, the user can not be provided with a
rehabilitation exercise mode suitable for the user's current
physical condition.
[0006] Besides, without professional coaching, the user does the
rehabilitation exercise by his or her own blindly, which may not
lead the user to achieve an effect of the rehabilitation exercise,
and what is worse is that the user may get unrecoverable injuries
because the he or she is not provided with an estimation and guide
according to the user's personal physical condition during the
rehabilitation exercise. Accordingly, it is needed to develop a
rehabilitation exercise method and system which can detecting the
user's physical condition and providing the suitable rehabilitation
exercise mode according to the user's physical condition to coach
the user to do the rehabilitation exercise.
SUMMARY
[0007] The disclosure provides a rehabilitation coaching method and
a rehabilitation coaching system, by which a user can do a
rehabilitation exercise according to a personalized exercise rhythm
so as to achieve an optimal rehabilitation effect and protect the
user from exercise injuries due to wrong exercise concepts of the
user.
[0008] The disclosure provides a rehabilitation coaching method for
assisting the user to do the rehabilitation exercise. The
rehabilitation coaching method includes detecting a resting heart
rate of the user by an electrocardiograph sensor, setting an
exercise rhythm according to a personalized exercise rhythm data
for the user and outputting the exercise rhythm to coach the user
to do the rehabilitation exercise. The rehabilitation coaching
method also includes obtaining a total oxygen consumption of the
user during the rehabilitation exercise according to a profile of
the user, and an exercise time of doing the rehabilitation exercise
and the exercise rhythm, wherein the profile of the user includes a
danger level of the user. The rehabilitation coaching method also
includes detecting an average heart rate of the user by the
electrocardiograph sensor during the rehabilitation exercise and
obtaining an exercise intensity for the user according to the
resting heart rate of the user and the average heart rate of the
user during the rehabilitation exercise. The rehabilitation
coaching method further includes obtaining a recommended exercise
rhythm according to the exercise intensity for the user, the total
oxygen consumption of the user during the rehabilitation exercise
and the danger level of the user and then updating the personalized
exercise rhythm data for the user according to the recommended
exercise rhythm.
[0009] The disclosure provides a rehabilitation coaching system for
assisting a user to do a rehabilitation exercise. The
rehabilitation coaching system includes a sensing signal receiver,
a memory unit, a personalized rehabilitation coaching unit and an
output unit. The sensing signal receiver is configured for
receiving a resting heart rate of a user and an average heart rate
of the user during the rehabilitation exercise. The memory unit is
configured for storing the profile of the user and the personalized
exercise rhythm data for the user. The personalized rehabilitation
coaching unit is coupled to the sensing signal receiver and the
memory unit and configured for setting the exercise rhythm
according to the personalized exercise rhythm data for the user.
The output unit is coupled to the personalized rehabilitation
coaching unit and configured for outputting the exercise rhythm to
coach the user to do the rehabilitation exercise. Here, the
personalized rehabilitation coaching unit is further configured for
obtaining the total oxygen consumption of the user during the
rehabilitation exercise according to the profile of the user and an
exercise time of doing the rehabilitation exercise and the exercise
rhythm, wherein the profile of the user includes the danger level
of the user. The personalized rehabilitation coaching unit is
further configured for obtaining the exercise intensity for the
user according to the resting heart rate of the user and the
average heart rate during the rehabilitation exercise. Further, the
personalized rehabilitation coaching unit is configured for
obtaining the recommended exercise rhythm according to the exercise
intensity for the user, the total oxygen consumption of the user
during the rehabilitation exercise, and the danger level of the
user.
[0010] In view of the foregoing, by setting the personalized
exercise rhythm suitable for each user and providing an exercise
rhythm suitable for each user, the rehabilitation coaching method
and the rehabilitation coaching system of the disclosure can coach
the user to do the rehabilitation exercise and achieve an optimal
rehabilitation effect. By this way, the user is protected from the
exercise injuries due to wrong exercise concepts.
[0011] In order to make the aforementioned and other objects,
features and advantages of the disclosure more comprehensible,
several embodiments accompanied with figures are described in
detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0012] The accompanying drawings constituting a part of this
specification are incorporated herein to provide a further
understanding of the disclosure. Here, the drawings illustrate
embodiments of the disclosure and, together with the description,
serve to explain the principles of the disclosure.
[0013] FIG. 1 is a schematic view illustrating a rehabilitation
coaching system according to an embodiment of the present
disclosure.
[0014] FIG. 2 is a schematic view illustrating how the
rehabilitation coaching system operates according to the present
exemplary embodiment.
[0015] FIG. 3 is a schematic block diagram illustrating a
personalized rehabilitation coaching unit as illustrated in FIG.
2.
[0016] FIG. 4 is a flow chart illustrating a rehabilitation
coaching method according to an embodiment of the present
disclosure.
DETAILED DESCRIPTION OF DISCLOSED EMBODIMENTS
[0017] FIG. 1 is a schematic view illustrating a rehabilitation
coaching system according to an embodiment of the present
disclosure.
[0018] Referring to FIG. 1, a rehabilitation coaching system 100
may be implemented in various rehabilitation exercise equipments,
such as a stepping machine, a treadmill, machine or a bicycle
machine, to assist a user to do a rehabilitation exercise, and the
present disclosure is not limited thereto. In addition, according
to an embodiment of the present disclosure, the rehabilitation
coaching system 100 may also be used for coaching the user to do a
rehabilitation movement, such as stepping, walking or jogging,
without using any rehabilitation exercise equipments.
[0019] It is noted that for illustrative convenience, in the
present embodiment, the rehabilitation coaching system 100
implemented in a stepping machine is taken as an example and
described hereinafter in detail. Here, the so-called stepping
exercise means the exercise which a user does an up-and-down
exercise repeatedly by a ladder pedal. During the stepping
exercise, it is assumed that both the user's left and right feet
begin with being on the first rung. At first, the user's right foot
(or the left foot) steps up for one rung, and then, the left foot
(the right foot) steps up onto the same rung. At this time, both
the user's left and right feet are on the second rung. Then, the
right foot (left foot) steps down for one rung and then the left
foot (right foot) steps down back to the same rung. At last, when
both the user's left and right feet return back to the original
position (i.e., the first rung), the stepping exercise is completed
for once.
[0020] The rehabilitation coaching system 100 includes a
physiological signal sensing device 102, a sensing signal receiver
104, an input unit 106, a personalized rehabilitation coaching unit
110, a memory unit 108 and an output unit 112.
[0021] The physiological signal sensing device 102 is configured
for detecting a physiological signal of the user. The sensing
signal receiver 104 is configured for receiving the physiological
signal of the user from the physiological signal sensing device
102. In the present embodiment, the physiological signal sensing
device 102 transmits a detected physiological signal to the sensing
signal receiver 104 via a wireless communication technique.
However, it should be known that the present disclosure is limited
thereto. The physiological signal sensing device 102 may also
communicate with the sensing signal receiver 104 via a wired
communication technique. For example, in the present exemplary
embodiment, the physiological signal sensing device 102 includes an
electrocardiograph sensor 210 and a weight sensor 230.
[0022] The electrocardiograph sensor 210 is configured for
detecting a resting heart rate of the user and an exercise average
heart rate of the user during the rehabilitation exercise. For
example, the electrocardiograph sensor 210 obtains the user's heart
rate by detecting an electrocardiogram, heart beats, blood flow or
using Infrared Ray (IR) sensing manner, and transmits the detected
signal to the sensing signal receiver 104 via a wireless
communication technique, such as Bluetooth, wireless network, and
the present disclosure is not limited thereto. In an exemplary
embodiment of the present disclosure, the electrocardiograph sensor
210 may also transmits the detected signal to the sensing signal
receiver 104 via a wired communication technique, such as twisted
pair cables, coaxial cables, or optic fibers.
[0023] The weight sensor 230 is configured for detecting the user's
weight. In an exemplary embodiment of the present disclosure, the
weight sensor 230 is a mechanical weight measurer. It is noted that
though the user's weight is detected by the weight sensor 230, the
disclosure is not limited thereto. In another embodiment, the
weight sensor 230 may be omitted, and the user's weight is inputted
by the user using the input unit 106.
[0024] The input unit 106 is configured for receiving a signal
inputted by the user, and the output unit 112 is configured for
outputting (or displaying) related information. The input unit 106
has a plurality of keys for the user to input the related
information, for example, the profile data, such as the user's
name, age and danger level of disease. In addition, for example, in
an exemplary embodiment where the output unit 112 includes a
monitor, the input unit 106 may also display the keys on the
monitor for the user to input the related information.
Alternatively, the related information is inputted by the input
unit 106 by way of identifying the user's movements, such as
gestures or postures.
[0025] The memory unit 108 is configured for storing the user's
profile. In particular, when the user uses the rehabilitation
coaching system 100 for the first time, the user is requested to
input the profile. Then, the profile inputted by the user using the
input unit 106 is stored in the memory unit 108. For example, the
user's profile includes the user's name, age, gender, weight,
danger level. Here, the so-called danger level is classified into a
high-risk level, a middle-risk level and a low-risk level according
to the user's health condition. However, the classification of the
risk levels of the present disclosure is not limited to the
afore-mentioned three types. For example, the danger level of the
user includes a danger level of heart disease, a danger level of
asthma or other danger levels of a variety of diseases.
[0026] Specially, in the present exemplary embodiment, the memory
unit 108 stores personalized exercise rhythm data for the user.
Particularly, the personalized exercise rhythm data for the user is
set according to the user's physical condition and used for
coaching the user to do the rehabilitation exercise. For example,
when the user does the stepping rehabilitation exercise, a stepping
frequency suitable for the user to do the stepping rehabilitation
exercise is set according to the user's personalized exercise
rhythm data.
[0027] For example, in the present exemplary embodiment, the memory
unit 108 is a flash memory module. However, it is to be understood
that the present disclosure is not limited to this. For example,
the memory unit 108 may be, for example, a non-volatile memory
module, an optical storage medium, a magnetic storage medium or
other types of storage media.
[0028] The personalized rehabilitation coaching unit 110 is coupled
to the sensing signal receiver 104, the input unit 106, the output
unit 112 and the memory unit 108 and configured for controlling the
overall operation of the personalized rehabilitation coaching unit
110.
[0029] FIG. 2 is a schematic view illustrating how the
rehabilitation coaching system operates according to the present
exemplary embodiment.
[0030] Referring to FIG. 2, at first, when the user wearing the
electrocardiograph sensor 210 steps on the ladder pedal equipped
with the weight sensor 230 and starts the rehabilitation coaching
system 100, the personalized rehabilitation coaching unit 110
guides the user to input the user's profile by using the input unit
106 and stores the user's resting heart rate and weight in the
memory unit 108 according to signals regarding the user's heart
rate and weight received by the sensing signal receiver 104 from
the electrocardiograph sensor 210 and the weight sensor 230. In
particular, before the user does the stepping rehabilitation
exercise, the personalized rehabilitation coaching unit 110 detects
the user's heart rate by using the sensing signal receiver 104 and
the electrocardiograph sensor 210 and taking the detected heart
rate as the user's resting heart rate.
[0031] Then, the personalized rehabilitation coaching unit 110 sets
the exercise rhythm according to the user's personalized exercise
rhythm data. Here, the exercise rhythm means the number of times
within one minute that the user does the stepping exercise, which
is used for coaching the user to do the rehabilitation exercise.
For example, the user is reminded to complete the specified number
of times of the stepping exercise within a specified period, but
the present disclosure is not limited thereto. For example, when
doing other rehabilitation exercises, the exercise rhythm may also
be used to remind the user to run or walk for the specified number
of circles (or the specified number of meters simulated by the
treadmill) in a specified period or to remind the user to ride a
bicycle for the specified number of circles in a specified
period.
[0032] Specially, in the present embodiment, the personalized
rehabilitation coaching unit 110 outputs via the output unit 112 a
perceived signal according to the exercise rhythm as set to coach
the user to do the stepping rehabilitation exercise. For example,
the monitor of the output unit 112 displays the stepping frequency
of the current stepping rehabilitation exercise, e.g. 25.14 times
of stepping in one minute, or displays an animation showing a
person doing the stepping rehabilitation exercise on the monitor to
coach the user, but the present disclosure is not limited thereto.
For example, in another embodiment of the disclosure, the perceived
signal used for coaching the user to do the stepping rehabilitation
exercise may be a sound (e.g. a speech sound, a music), an image, a
vibration or a combination thereof.
[0033] In addition, the personalized rehabilitation coaching unit
110 displays the user's personal physiological information on the
monitor of the output unit 112. For example, the personalized
rehabilitation coaching unit 110 continuously receives the signal
of the user's heart rate by using the sensing signal receiver 104
and the electrocardiograph sensor 210 and displays the user's
information, e.g. the user's electrocardiogram, heartbeat and heart
rhythm variation, on the monitor of the output unit 112 according
to the received heartbeat signal. In addition, for example, the
personalized rehabilitation coaching unit 110 also calculates a
calorie consumption of the user and displays the same on the
monitor of the output unit 112. Further, for example, the
personalized rehabilitation coaching unit 110 detects the user's
actual movement to identify a following degree of the user doing
the stepping rehabilitation exercise and displays the detected
following degree on the monitor.
[0034] Specially, in the present embodiment, during the last minute
that the user is to complete the stepping rehabilitation exercise,
the personalized rehabilitation coaching unit 110 continuously
measures the user's heart rate by using the sensing signal receiver
104 and the electrocardiograph sensor 210 and calculates the user's
information, such as the average heart rate and the heart rhythm
variation during the stepping rehabilitation exercise, and a total
time of the heartbeat returning back to the resting heart rate, a
speed of the heartbeat returning back to the resting heart
rate.
[0035] After that, the personalized rehabilitation coaching unit
110 proceeds with a personalized norm calculation according to the
user's physiological condition (for example, the user's age) and
the condition of the user during the stepping rehabilitation
exercise (for example, the average heart rate during the stepping
rehabilitation exercise) so as to obtain the recommended exercise
rhythm suitable for the user and update the personalized exercise
rhythm data for the user stored in the memory unit 108 according to
the recommended exercise rhythm. Afterward, when the user again
does the stepping rehabilitation exercise, the personalized
rehabilitation coaching unit 110 sets the exercise rhythm according
to the updated personalized exercise rhythm data.
[0036] Hereinafter, a schematic block diagram illustrating the
personalized rehabilitation coaching unit 110 is used to describe
in detail a mechanism returning a feedback of the recommended
exercise rhythm according to the profile of the user and the
received physiological signals.
[0037] FIG. 3 is a schematic block diagram illustrating the
personalized rehabilitation coaching unit according to an exemplary
embodiment of the present disclosure.
[0038] Referring to FIG. 3, the personalized rehabilitation
coaching unit 110 includes an exercise rhythm setting module 151,
an exercise oxygen consumption calculating module 153, an exercise
intensity calculating module 155, a calorie consumption calculating
module 157, and a personalized norm calculating module 159.
[0039] The exercise rhythm setting module 151 is configured for
reading the personalized exercise rhythm data for the user from the
memory unit 108 to set the exercise rhythm. Particularly, the
exercise rhythm setting module 151 reads from the memory unit 108
the stored personalized exercise rhythm data for the user and sets
the exercise rhythm for doing the stepping rehabilitation exercise
according to the personalized exercise rhythm data. For example,
the exercise rhythm setting module 151 sets the exercise rhythm for
doing the stepping rehabilitation exercise as 25 times per
minute.
[0040] It is should be noted that in an exemplary embodiment of the
present disclosure, every time when the user is about to do the
rehabilitation exercise, the exercise rhythm setting module 151
determines whether the profile corresponding to the user is stored
in the memory unit 108. When the profile corresponding to the user
is stored in the memory unit 108, the exercise rhythm setting
module 151 reads the personalized exercise rhythm data of the user
and sets the exercise rhythm according to the personalized exercise
rhythm data. When the profile corresponding to the user is not
stored in the memory unit 108, the exercise rhythm setting module
151 displays an interface via the output unit 112 to request the
user to input the profile. After the user completes inputting the
profile data, such as the user's name, age, gender, danger level of
heart disease, the exercise rhythm setting module 151 initially
uses a standard exercise rhythm data for the stepping
rehabilitation exercise as the personalized exercise rhythm data
for the user. Here, the standard exercise rhythm data for the
stepping rehabilitation exercise is a constant exercise frequency
data that is classified according to ages and genders. In an
exemplary embodiment of the present disclosure, the exercise rhythm
setting module 151 further selects different standard exercise
rhythm data according to the user's weight and danger level, e.g.
the danger level of heart disease.
[0041] The exercise oxygen consumption calculating module 153 is
configured for calculating the total oxygen consumption of the user
during the rehabilitation exercise according to the user's weight
and the exercise time and the exercise rhythm of the user during
the rehabilitation exercise. In an exemplary embodiment of the
present disclosure, the total oxygen consumption is calculated
according to the user's weight, the time of doing the
rehabilitation exercise by the user, the oxygen consumption of the
user during the exercise and the oxygen consumption of the user
during the rest (e.g. the total oxygen consumption=the user's
weight.times.exercise time.times.(the oxygen consumption during the
exercise+the oxygen consumption during the rest). For example,
using the stepping rehabilitation exercise as an example, the
exercise oxygen consumption calculating module 153 estimates the
total oxygen consumption of the user by the following formula
(1).
TVO2=W.times.T.times.((0.2.times.f)+(1.33.times.1.8.times.H.times.f)+3.5-
.times.RVO2) (1)
[0042] Here, TVO2 is the user's total oxygen consumption, W is the
user's weight, T is the time of doing the stepping rehabilitation
exercise, f is the stepping frequency, H is a height of the ladder
pedal (unit: meter, m) and RVO2 is the oxygen consumption during
the rest. For example, it is assumed that the user's weight is 75
kg, the exercise time of doing the stepping rehabilitation exercise
is 3 minutes, the height of the ladder pedal is 0.35 m, the
stepping frequency is 24 times per minute, and therefore, the
oxygen consumption of the user to do the stepping rehabilitation
exercise is 6392.16 ml. It is to be understood that the
aforementioned method for calculating the total oxygen consumption
is only an example, and the present disclosure is not limited to
it. Other manner capable of calculating the total oxygen
consumption can be applied in the present disclosure.
[0043] The exercise intensity calculating module 155 is configured
for estimating the maximum heart rate for the user according to the
user's age and calculating a reserved heart rate for the user
according to the maximum heart rate and the detected resting heart
rate. In addition, the exercise intensity calculating module 155 is
further configured for calculating the exercise intensity for the
user according to the average heart rate of the user during the
rehabilitation exercise, the resting heart rate and the reserved
heart rate of the user.
[0044] For example, in the present exemplary embodiment, the
exercise intensity calculating module 155 calculates the user's
maximum heart rate, the reserved heart rate and the exercise
intensity based on the following formulas (2) to (4):
MHR=220-Age (2)
HRR=MHR-RHR (3)
ES=(AHR-RHR)/HRR (4)
[0045] Here, MHR is the user's estimated maximum heart rate, Age is
the user's age, HRR is the user's reserved heart rate, RHR is the
user's resting heart rate, ES is the exercise intensity for the
user, and AHR is the user's average heart rate during the
rehabilitation exercise. However, it is to be understood that the
present disclosure is not limited thereto. The estimated maximum
heart rate may be inputted by the user using the input unit 106.
For example, if the user's resting heart rate is 70, and the
average heart rate during the stepping rehabilitation exercise is
160, then the user's exercise intensity is 72%. It is to be
understood that the manner calculating the exercise intensity as
above is only an example, and the present disclosure is not limited
thereto. Other manner capable of calculating the aforementioned
exercise intensity can be applied in the present disclosure.
[0046] The calorie consumption calculating module 157 is configured
for obtaining a total calorie consumption of the user during the
rehabilitation exercise according to the total oxygen consumption
of the user during the rehabilitation exercise. For example, the
calorie consumption calculating module 157 calculates the total
calorie consumption of the user during the rehabilitation exercise
according to the following formula (5):
TK=TVO2.times.4.9 (5)
[0047] Here, TK is the user's total calorie consumption during the
rehabilitation exercise. For example, if a user's total oxygen
consumption during the rehabilitation exercise is 6.39 L, the total
calorie consumption of the user during the rehabilitation exercise
as calculated by the calorie consumption calculating module 157
according to formula (5) is 31.32 kcal. It is to be understood that
the total calorie consumption calculated as above is only an
example, and the disclosure is not limited thereto. Other manner
capable of calculating the total calorie consumption can be applied
in the present disclosure.
[0048] The personalized norm calculating module 159 is configured
for obtaining the recommended exercise rhythm according to the
exercise intensity for the user and the total calorie consumption
of the user during the rehabilitation exercise. In particular, the
personalized norm calculating module 159 sets an initial exercise
intensity according to the user's danger level and calculates a
total calorie consumption target and a total oxygen consumption
target for the user according to the user's danger level, the
exercise intensity for the user and the total calorie consumption
of the user during the rehabilitation exercise so as to calculate
the recommended exercise rhythm.
[0049] For example, when the user's danger level of heart disease
is low, the personalized norm calculating module 159 sets the
initial exercise intensity for the user as 75%. In particular, when
the user's danger level of heart disease is higher, it means that
the user needs to do the rehabilitation exercise more gently. In
other words, the exercise intensity for the user to do the
rehabilitation exercise needs to be lower to protect the user from
feeling unwell during the rehabilitation exercise. Thus, in the
present exemplary embodiment, if the user's danger level of heart
disease is the high-risk level, the default exercise intensity
suitable for the user to do the stepping rehabilitation exercise is
25%. If the user's danger level of heart disease is the middle-risk
level, the default exercise intensity suitable for the user to do
the rehabilitation exercise is 50%. If the user's danger level of
heart disease is low-risk level, the default exercise intensity
suitable for the user to do the rehabilitation exercise is 75%.
However, the present disclosure is not limited to the foregoing. In
other embodiments of the disclosure, the danger level is adjustable
according to actual requirements.
[0050] Next, the personalized norm calculating module 159
calculates the total calorie consumption target and the total
oxygen consumption target corresponding to the initial exercise
intensity according to the exercise intensity calculated by the
exercise intensity calculating module 155 and the total calorie
consumption calculated by the calorie consumption calculating
module 157. For example, when the exercise intensity is set as 72%
for the user during the stepping rehabilitation exercise and the
total calorie consumption is 31.32 kcal, the total calorie
consumption target and the total oxygen consumption target
corresponding to the initial exercise intensity, which is 75%,
calculated by the personalized norm calculating module 159 are
respectively 32.625 kcal and 6658 ml. Then, the recommended
stepping frequency, i.e. the recommended exercise rhythm, according
to formula (1) calculated by the norm calculating module 159 is
25.14 times per minute.
[0051] Specially, the norm calculating module 159 updates the
personalized exercise rhythm data stored in the memory unit 108
according to the calculated recommended exercise rhythm.
[0052] It should be noted that in the present embodiment, the
exercise rhythm setting module 151, the exercise oxygen consumption
calculating module 153, the exercise intensity calculating module
155, the calorie consumption calculating module 157 and the
personalized norm calculating module 159 are hardware circuits, but
the present disclosure is not limited thereto. For example, in
another embodiment of the disclosure, the personalized
rehabilitation coaching unit 110 may also consist of a processor
unit and a memory module. The memory module stores program codes
for implementing functions of the exercise rhythm setting module
151, the exercise oxygen consumption calculating module 153, the
exercise intensity calculating module 155, the calorie consumption
calculating module 157 and the personalized norm calculating module
159. And, the processor unit executes the program codes to coach
the user to do the rehabilitation exercise by using the
personalized exercise rhythm.
[0053] FIG. 4 is a flow chart illustrating a rehabilitation
coaching method according to an exemplary embodiment of the present
disclosure.
[0054] Referring to FIG. 4, at first, when the rehabilitation
coaching system 100 is enabled, the personalized rehabilitation
coaching unit 110 obtains the user's profile (step S401). For
example, according to the example where the user's profile is
stored in the memory unit 108, the personalized rehabilitation
coaching unit 110 reads the user's age data from the memory unit
108, which is inputted thereto by using the input unit 106
according to the user's name (/or any identifiable codes).
Otherwise, according to the example where the user's profile is not
stored in the memory unit 108, the personalized rehabilitation
coaching unit 110 requests the user to input the profile so as to
obtain the user's age data.
[0055] Afterward, in step S403, the electrocardiograph sensor 210
detects the user's resting heart rate.
[0056] Then, in step S405, the personalized rehabilitation coaching
unit 110 estimates the maximum heart rate for the user according to
the user's age and calculates the user's reserved heart rate
according to the user's maximum heart rate and resting heart rate.
However, the maximum heart rate is not limited to being estimated
according to the user's age, and may also be manually inputted and
adjusted by the user.
[0057] Next, in step S407, the personalized rehabilitation coaching
unit 110 determines whether the user ever uses the rehabilitation
coaching system 100 to complete the rehabilitation exercise
according to a record stored in the memory unit 108.
[0058] If the user never uses the rehabilitation coaching system
100 to complete the rehabilitation exercise, in step S409, the
personalized rehabilitation coaching unit 110 sets the exercise
rhythm based on the standard exercise rhythm data. If the user did
use the rehabilitation coaching system 100 to complete the
rehabilitation exercise, in step S411, the personalized
rehabilitation coaching unit 110 reads the user's personalized
exercise rhythm data from the memory unit 108 and sets the exercise
rhythm based on the personalized exercise rhythm data.
[0059] Afterward, in step S413, the personalized rehabilitation
coaching unit 110 outputs the exercise rhythm to coach the user to
do the rehabilitation exercise. For example, as described above,
the output unit 112 outputs the stepping frequency, walking speed,
jogging speed, or wheel speed of a bicycle by displaying the
perception signals in forms like patterns or sound via using the
monitor or audio (speech voice or music) output devices to coach
the user to do the rehabilitation exercise.
[0060] In step S415, the electrocardiograph sensor 210 detects the
average heart rate of the user during the rehabilitation exercise.
For example, during 3 minutes of doing the rehabilitation exercise,
the electrocardiograph sensor 210 continuously detects the user's
heart rate to calculate the average heart rate during the
rehabilitation exercise. However, the present disclosure is not
limited thereto. In an exemplary embodiment of the present
disclosure, the average heart rate during the rehabilitation
exercise may also be the average heart rate within a time period
from the time the user starts to do the rehabilitation exercise to
the time before the user ends the rehabilitation exercise, for
example, one minute before the user ends the rehabilitation
exercise.
[0061] Then, in step S417, the personalized rehabilitation coaching
unit 110 obtains the exercise intensity corresponding to the user
according to the average heart rate of the user during the
rehabilitation exercise, the resting heart rate and the reserved
heart rate.
[0062] Next, in step S419, the personalized rehabilitation coaching
unit 110 obtains the user's weight and the exercise time of doing
the rehabilitation exercise. Particularly, in the exemplary
embodiment where the weight sensor 230 is equipped, the
personalized rehabilitation coaching unit 110 obtains the user's
weight by the weight sensor 230 and the sensing signal receiver
104. Otherwise, in the embodiment where the weight sensor 230 is
not equipped, the personalized rehabilitation coaching unit 110
obtains the user's weight according to the weight data inputted by
the user using the input unit 106. Meanwhile, the rehabilitation
coaching system 100 is further equipped with a timer (not shown),
and the personalized rehabilitation coaching unit 110 obtains the
exercise time of doing the rehabilitation exercise according to a
record of the timer.
[0063] Next, in step S421, the personalized rehabilitation coaching
unit 110 obtains the user's total oxygen consumption during the
rehabilitation exercise according to the user's weight, the user's
exercise time and the exercise rhythm. Meanwhile, in step S423, the
personalized rehabilitation coaching unit 110 calculates the
personalized total oxygen consumption target for the user according
to the danger level of the user, the exercise intensity and the
total oxygen consumption of the user during the rehabilitation
exercise. For example, in steps S421 and S423, the personalized
rehabilitation coaching unit 110 calculates the total calorie
consumption target for the user according to the user's danger
level, the exercise intensity and the total calorie consumption
user during the rehabilitation exercise and calculates the
personalized total oxygen consumption target for the user according
to the calculated total calorie consumption target during the
rehabilitation exercise, the user's weight and the exercise time of
doing the rehabilitation exercise.
[0064] At last, in step S425, the personalized rehabilitation
coaching unit 110 calculates the recommended exercise rhythm for
the user according to the personalized total oxygen consumption
target, the user's weight and the exercise time of doing the
rehabilitation exercise. In step S427, the personalized
rehabilitation coaching unit 110 updates in the memory unit 108 the
user's personalized exercise rhythm data based on the recommended
exercise rhythm as calculated.
[0065] It is noted that the flow chart of FIG. 4 is only an example
and is not intended to limit the disclosure. In other embodiments,
the rehabilitation coaching method may add, delete or adjust the
operational details and sequences of the steps according to the
actual situation.
[0066] In view of the foregoing, the rehabilitation coaching method
and the rehabilitation coaching system in the present disclosure
coach users to do a rehabilitation exercise by constantly setting
and updating a personalized exercise rhythm data of each user,
thereby achieving the optimal rehabilitation effect and protecting
the users from exercise injury due to wrong exercise concepts.
[0067] Although the disclosure has been described with reference to
the above embodiments, it will be apparent to one of the ordinary
skill in the art that modifications to the described embodiment may
be made without departing from the spirit of the disclosure.
Accordingly, the scope of the disclosure will be defined by the
attached claims not by the above detailed descriptions.
* * * * *