CN106491088A - A kind of balanced ability of human body appraisal procedure based on smart mobile phone - Google Patents

A kind of balanced ability of human body appraisal procedure based on smart mobile phone Download PDF

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CN106491088A
CN106491088A CN201610970861.1A CN201610970861A CN106491088A CN 106491088 A CN106491088 A CN 106491088A CN 201610970861 A CN201610970861 A CN 201610970861A CN 106491088 A CN106491088 A CN 106491088A
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human body
mobile phone
balanced
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user
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CN106491088B (en
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随阳轶
杨丰铭
张晓拓
苗红松
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Jilin University
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/40Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4005Detecting, measuring or recording for evaluating the nervous system for evaluating the sensory system
    • A61B5/4023Evaluating sense of balance
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898Portable consumer electronic devices, e.g. music players, telephones, tablet computers

Abstract

The invention belongs to medical instruments field, is related to a kind of balanced ability of human body appraisal procedure based on smart mobile phone, comprises the following steps:A, sample data collection and storage;B, set up balanced ability of human body evaluation criterion;C, user profile input and preservation;D, displaying centre-of-gravity path;E, balanced capacity assessment and the preservation of user's performance information, and then assessment report is generated according to personal essential information and balanced ability of human body achievement.The present invention is without specially buying special balanced capacity test equipment, the assessment and invention that balanced capacity can just be completed using popular conventional smart mobile phone is not affected by time, steric requirements, the test of ability is balanced at any time, easily promote, long term monitoring can be carried out to the balanced capacity of oneself.

Description

A kind of balanced ability of human body appraisal procedure based on smart mobile phone
Technical field
The invention belongs to technical field of medical instruments, is related to a kind of balanced ability of human body appraisal procedure, more particularly to a kind of Balanced ability of human body appraisal procedure based on smart mobile phone.
Background technology
Balanced capacity is one kind of body constitution, refers to the ability for maintaining body gesture, especially on less supporting surface, control The ability of centre of body weight processed.Balanced capacity is all static base powers with dynamic moving, enjoys the pass of people all the time Note, but but fast and effeciently cannot carry out objective evaluation under conventional environment at any time.Conventional balance performance monitor is main at present There are Balance Performance Monitor (BPM), Balance Master, Equitest etc., both price mistakes wherein rear Height, it is difficult to clinically promote, is unlikely received by general public.BPM moderate costs can be applied in clinic, and which is former Manage and stand on monitor station for people, pressure transducer produces pressure signal, each seed ginseng gravity center of human body changed by computer Number is analyzed, and evaluates balanced ability of human body, and testing result is graphically shown to user.As required sets Standby such as monitor station, computer etc. is still more, for general public, or needing to buy whole specialized equipment, or can only arrive The hospital for specifying goes to be estimated, and these all significantly limit its use range, causes masses assess whenever and wherever possible certainly Oneself balanced capacity.In the modern life, smart mobile phone has become the means of communication that masses generally carry with.Meanwhile, core The arithmetic speed of processor constantly speeds a large amount of integrated with sensor so that constantly gushed based on the application program of smart mobile phone Existing, amusement and social activity is no longer limited to, but expands to the every aspect of life.This is based on, if developing a kind of based on intelligence The balanced ability of human body appraisal procedure of energy mobile phone, and then realize being estimated oneself balanced capacity by mobile phone whenever and wherever possible, More preferably monitoring method will be provided for the improvement of balanced ability of human body.
Content of the invention
The present invention is directed to the deficiencies in the prior art, there is provided a kind of balanced ability of human body appraisal procedure based on smart mobile phone, User can be made not receive the spatio-temporal assessment for affecting, carrying out Equilibrium ability at any time.
The purpose of the present invention is achieved through the following technical solutions, as follows in conjunction with illustrating:One kind is based on intelligence The balanced ability of human body appraisal procedure of mobile phone, comprises the following steps:
A, the Data acquisition and storage for carrying out sample in data acquisition module:Using built-in acceleration sensor in mobile phone And attitude angle transducer, the sensor access interface that provided by mobile phone operating system obtained testee's mobile phone and accelerated in real time Degree and attitude angle data, and which were shown in real time with the testing time, at the same by all data storages of this testee in In mobile phone;
B, set up balanced ability of human body evaluation criterion:First maintain in motor process by n testee of step A random acquisition Every initial data be stored in mobile phone, formed n sample data;Again each sample data is processed, is obtained every former Beginning index and its correlation matrix, therefrom choose the m item indexs for having dependency more than 0.5, statistic of test and Bartlett Sphericity inspection together rate Sig judges whether to be appropriate to factorial analyses;If it is determined that being suitable for, then factorial analyses are carried out, carried The k factor is taken out, while using the weight of the coefficient matrix of the factor itself and the factor as standards of grading;If it is not, then weighing New selection original index, carries out the condition of factorial analyses until which meets;
C, carry out in user setup module user profile input with preserve:Name, sex according to user input and Mobile phone current time is dynamically initialized to menu;After detecting the stored operation of user execution guarantor, transmit data to Balanced capacity evaluation module is preserved;
D, in Posturography display module show centre-of-gravity path:First initialization radar Background and broken line graph are carried on the back Jing Tu, and set the coordinate figure (x of gravity center of human body when testing original state0, y0, z0);Again by attitude angle transducer obtain mobile phone around The angle of the three axles rotation of xyz coordinate systems, and spin matrix is calculated according to three goniometers;Sat by spin matrix and gravity center of human body Scale value, obtains any time gravity center of human body in testing coordinate figure (x, y) in the horizontal direction and gravity center of human body vertical Height (z) on direction;Center of gravity projection in the horizontal plane is drawn on radar Background respectively, is drawn on broken line Background The change of height of C.G., so that completely show centre-of-gravity path;By user items real time data and finally maintain balance when Between be transferred to balancing evaluation module;E, the guarantor for realizing balanced capacity assessment and user's performance information in balanced capacity evaluation module Deposit:The personal essential information for calling user setup module to preserve and each item data of user of Posturography display module acquisition, The m item original index of tested person is obtained, total balance of the body energy is obtained according to the coefficient matrix in standards of grading and each Factor Weight Power achievement, realizes the assessment of user equilibrium ability, and then generates assessment according to personal essential information and balanced ability of human body achievement Report.
In step A, the data are stored by multiple row, and first is classified as the testing time, and other are classified as related physical quantity.
Step B, every original index are respectively X-axis acceleration meansigma methodss, Y-axis acceleration meansigma methodss, Z axis acceleration Meansigma methodss, orientation mean angular deviation, pitching mean angular deviation, upset mean angular deviation and SVM meansigma methodss.
The SVM is acceleration amplitude, is defined as follows, wherein ax, ay, azRepresent x, the acceleration in y, z direction:
Step B, the condition of the judgement is:KMO>0.6 and Sig<0.05.
Step D, gravity center of human body's coordinate figure set be with human body both feet center as zero, and mobile phone and human body with Coordinate system is identical.
Step D, the calculating process of the spin matrix is:
When rotating around z-axis, z-axis spin matrix is:
In formula:For current time azimuth and the azimuthal difference of initial time;
When rotating around x-axis, x-axis spin matrix is:
In formula:β is the difference of the current time angle of pitch and the initial time angle of pitch,
When rotating around y-axis, y-axis spin matrix is:
In formula:θ is the difference of current time roll angle and initial time roll angle,
Then spin matrix is:MXYZ=MXMYMZ(5).
The height of step D, gravity center of human body coordinate figure (x, y) in the horizontal direction and gravity center of human body's in the vertical direction Degree (z) computing formula be:
Step E, the balanced ability of human body achievement are calculated by following steps:
E1. the m item original index of tested person is standardized, represents flat as numerical value is bigger in this m item index Weighing apparatus ability is poorer, therefore its standardization formula is:
Wherein xnFor n-th original index of tested person, μ is the average of all sample datas of n-th original index, and σ is n-th The standard deviation of all sample datas of item original index;
E2. the standardized value of each index corresponding with its index coefficient (being provided by coefficient matrix) is multiplied, then is added and obtains Each factor score fi, i.e.,:
Wherein uniThe coefficient of i-th factor corresponding to n-th original index, has m item original index;
E3. according to Factor Weight, it is weighted and collects, i.e.,:
Wherein Si% is the weight of i-th factor;
After obtaining comprehensive score f of user, the synthesis that hundred-mark system numerical value is converted to user's achievement, i.e. balanced capacity is carried out Score.
Compared with prior art, beneficial effects of the present invention are:1., compared with existing balance performance monitor, the present invention is first not With special balanced capacity test equipment is specially bought, commenting for balanced capacity can be just completed using popular conventional smart mobile phone Estimate;2. the present invention is not affected by time, steric requirements, is balanced the test of ability at any time, is easily promoted, can be to oneself Balanced capacity carry out long term monitoring.
Description of the drawings
Fig. 1 is the specifically used mode figure of user of the present invention;
User equilibrium capability evaluation flow charts of the Fig. 2 for the embodiment of the present invention;
The system function module figure of Fig. 3 embodiment of the present invention.
Specific embodiment
Specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings.
When implementing balanced ability of human body appraisal procedure of the present invention, operator's test posture is shown in accompanying drawing 1.Human body test when, Stand on one leg, another foot is lifted, vertically downward, another hand rest lives smart mobile phone to handss, make mobile phone and gravity center of human body position Put in sustained height, and mobile phone screen is vertical with human body vertical direction, in test process, keep both relative positions constant.
The present invention is embodied as flow process as shown in Fig. 2 developing using Android Studio1.4.Its internal system Functional block diagram is as shown in figure 3, including data acquisition module, Posturography display module, balanced capacity evaluation module and use Family setup module.
A kind of balanced ability of human body appraisal procedure based on smart mobile phone, comprises the following steps:
A, the collection and preservation that carry out sample data in data acquisition module:First, using built-in acceleration in mobile phone Degree sensor, attitude angle transducer, obtain the real-time acceleration of mobile phone, appearance by SensorEventListener interface methods State angular data, using the public method read test time of Date classes;TextView classes public method is recycled the acceleration number of degrees Shown according to, attitude angle data and testing time in real time, while using internal storage by this testee's All data are stored in mobile phone with TXT files.Data are stored by multiple row, and first is classified as the testing time, and other are classified as correlative Reason amount.
B, utilize computer software SPSS (SPSS be IBM Corporation release the software product for statistical analysis computing) Data analysiss are carried out, the standards of grading of balanced ability of human body are set up:
First, 40 testees of random choose, by step A gather its maintain motor process in each item data (plus Speed data and attitude angle data), and be stored in mobile phone;Again by the initial data of this 40 testees, SPSS is imported to In data statistic analysis software, that is, 40 sample datas are formed, single sample data as shown in table 1, are entered to each sample data Row is processed, and obtains the original index of the design:X-axis acceleration meansigma methodss, Y-axis acceleration meansigma methodss, Z axis acceleration meansigma methodss, Orientation mean angular deviation, pitching mean angular deviation, upset mean angular deviation, SVM meansigma methodss (formula 1 is shown in SVM definition) as shown in table 2, SVM Acceleration amplitude is calculated to characterize the severe degree of human motion, its value shows that more greatly motion is more violent.Which is defined as follows, wherein ax, ay, azRepresent x, the acceleration in y, z direction:
The original real time data for measuring of 1 single sample of table
The original index value of more than 2 sample of table
Then, SPSS data statistic analysis computed in software obtains the correlation matrix with regard to original index, therefrom chooses tool There is 5 indexs (Y-axis acceleration meansigma methodss, Z axis acceleration meansigma methodss, pitching mean angular deviation, flip angle of the dependency more than 0.5 Standard deviation, SVM meansigma methodss), using the Kaiser-Meyer-Olkin statistic of test in SPSS data statistic analysis softwares and Rate Sig judges whether to be appropriate to factorial analyses, the KMO and Bartlett of factorial analyses together for the sphericity inspection of Bartlett Inspection in KMO values>0.5th, the value of Sig<0.05, while the proportion in the factor that extracts shared by each index is more than 0.6, therefore It is appropriate to factorial analyses processing data.Carry out factorial analyses, extract 2 factors, and with the coefficient matrix of the factor itself and Factor Weight is used as standards of grading.
C, carry out in user setup module user profile input with preserve:
First, complete the importing of information using EditText public methods, and using RadioGroup public methods according to The name of user input, the sex and mobile phone current time is dynamically initialized to menu;Recycle View class sides After method detects the stored operation of user execution guarantor, self-defining data is combined using Activity classes method and connect class ApplicationTrans transmits data to balancing evaluation module, and thus module is preserved.
D, in Posturography display module show centre-of-gravity path:
First, self-defined RadarBackground classes initialize radar Background, and self-defined LineView classes simultaneously load horizontal stroke Broken line graph Background, and gravity center of human body when setting test original state are initialized to scroll control HorizontalScrollView Coordinate figure (x0, y0, z0) (human body both feet center is zero, and mobile phone and human body have same coordinate system);Again by attitude angle Sensor obtains angle of the mobile phone around the three axles rotation of xyz coordinate systems using SensorManager class methods, and according to three angles Degree calculates spin matrix, specific as follows:
When rotating around z-axis, z-axis spin matrix is:
In formula:α is current time azimuth and the azimuthal difference of initial time.
When rotating around x-axis, x-axis spin matrix is:
In formula:β is the difference of the current time angle of pitch and the initial time angle of pitch,
When rotating around y-axis, y-axis spin matrix is:
In formula:θ is the difference of current time roll angle and initial time roll angle,
Then spin matrix is:MXYZ=MXMYMZ(5)
By spin matrix and gravity center of human body's coordinate figure, any time human body that obtains in testing using Matrix class methods Center of gravity coordinate figure (x, y) in the horizontal direction and the height (z) of gravity center of human body's in the vertical direction.Formula is as follows:
Then, these coordinate Value Datas are sent in real time with onDraw (Canvas using handler classes method Canvas) in the view view class methods of picture function, painted on radar Background in conjunction with Paint and Canvas classes method respectively Center of gravity processed projection in the horizontal plane, draws the change of height of C.G., on broken line Background so as to completely show centre-of-gravity motion Track, transmits user's items real time data using BaseBundle and Intent classes method and finally maintains the time for balancing to flat Weighing apparatus evaluation module;
E, realize in balancing evaluation module balanced capacity assessment and user's performance information preservation:
First, show mould using the personal essential information and Posturography of Intent class method call user setup modules The each item data of user that block is obtained;Math class methods are recycled to obtain 5 original index of tested person, according in standards of grading Coefficient matrix obtains balanced ability of human body achievement with each Factor Weight, realizes the assessment of user equilibrium ability, specifically calculated Journey is as follows:
A. 5 original index of tested person are standardized, balance is represented as numerical value is bigger in this 5 indexs Ability is poorer, therefore its standardization formula is:
Wherein xnFor n-th original index of tested person, μ is the average of all sample datas of n-th original index, and σ is n-th The standard deviation of the original all sample datas of item;
B. the standardized value of each index multiplication corresponding with its index, then be added and obtain each factor score fi, i.e.,:
Wherein uniThe coefficient of i-th factor corresponding to n-th original index, as shown in table 3;
C. according to Factor Weight, it is weighted and collects, i.e.,:
Wherein Si% is variance percentage S in the i-th Factor Weight, i.e. table 4i%;
After finally giving comprehensive score f of user, carry out hundred-mark system numerical value and be converted to user's achievement, i.e. balanced capacity Comprehensive score;
3 coefficient matrix of table
4 Factor Weight of table
Loading topology file main_value.xml generates assessment according to personal essential information and balanced ability of human body achievement Report.
In the inventive method, the result of balanced capacity assessment is as shown in table 5 below:
5 each index value of table and scoring achievement
In the data for obtaining, it is followed successively by by the descending sequence of each acceleration meansigma methodss and attitude angle standard deviation tested People D, tested person C, tested person E, tested person A, tested person B;And achievement is identical with this order.Due to each acceleration meansigma methodss and appearance State angular standard difference is big to represent that body movement is most obvious in testing, and its balanced ability of human body is relatively poor.So as to demonstrate this The reasonability and effect of appraisal procedure.
The present invention realizes the collection of sample data, and analyzes the evaluation criterion that sample data sets up balanced ability of human body;Logical The real-time attitude data that sensor is obtained in mobile phone are crossed, and balanced ability of human body assessment knot are drawn according to the standards of grading that has set up Really.

Claims (9)

1. a kind of balanced ability of human body appraisal procedure based on smart mobile phone, it is characterised in that comprise the following steps:
A, the Data acquisition and storage for carrying out sample in data acquisition module:Using built-in acceleration sensor and appearance in mobile phone State angle transducer, the sensor access interface that provided by mobile phone operating system obtain the real-time acceleration of testee's mobile phone and Attitude angle data, and which was shown in real time with the testing time, while by all data storages of this testee in mobile phone In;
B, set up balanced ability of human body evaluation criterion:First remain each in motor process by n testee of step A random acquisition Item initial data is stored in mobile phone, forms n sample data;Again each sample data is processed, every original finger is obtained Mark and its correlation matrix, therefrom choose the ball of the m item indexs for having dependency more than 0.5, statistic of test and Bartlett Rate Sig judges whether to be appropriate to factorial analyses the inspection of shape degree together;If it is determined that being suitable for, then factorial analyses are carried out, extract k The individual factor, while using the weight of the coefficient matrix of the factor itself and the factor as standards of grading;If it is not, then choosing again Original index, carries out the condition of factorial analyses until which meets;
C, carry out in user setup module user profile input with preserve:Name, sex and mobile phone according to user input Current time is dynamically initialized to menu;After detecting the stored operation of user execution guarantor, transmission data is balanced Capability evaluation module is preserved;
D, in Posturography display module show centre-of-gravity path:Radar Background and broken line graph background are first initialized Figure, and set the coordinate figure (x of gravity center of human body when testing original state0, y0, z0);Again by attitude angle transducer obtain mobile phone around The angle of the three axles rotation of xyz coordinate systems, and spin matrix is calculated according to three goniometers;Sat by spin matrix and gravity center of human body Scale value, obtains any time gravity center of human body in testing coordinate figure (x, y) in the horizontal direction and gravity center of human body vertical Height (z) on direction;Center of gravity projection in the horizontal plane is drawn on radar Background respectively, is drawn on broken line Background The change of height of C.G., so that completely show centre-of-gravity path;By user items real time data and finally maintain balance when Between be transferred to balancing evaluation module;
E, realize in balanced capacity evaluation module balanced capacity assessment and user's performance information preservation:Call user setup mould The each item data of user that the personal essential information and Posturography display module that block is preserved is obtained, obtains the m items original of tested person Beginning index, obtains balanced ability of human body achievement according to the coefficient matrix in standards of grading and each Factor Weight, realizes that user puts down The assessment of weighing apparatus ability, and then assessment report is generated according to personal essential information and balanced ability of human body achievement.
2. a kind of balanced ability of human body appraisal procedure based on smart mobile phone according to claim 1, it is characterised in that:Step In rapid A, the data are stored by multiple row, and first is classified as the testing time, and other are classified as related physical quantity.
3. a kind of balanced ability of human body appraisal procedure based on smart mobile phone according to claim 1, it is characterised in that:Step Rapid B, every original index are respectively X-axis acceleration meansigma methodss, Y-axis acceleration meansigma methodss, Z axis acceleration meansigma methodss, side Parallactic angle standard deviation, pitching mean angular deviation, upset mean angular deviation and SVM meansigma methodss.
4. a kind of balanced ability of human body appraisal procedure based on smart mobile phone according to claim 3, it is characterised in that:Institute SVM is stated for acceleration amplitude, is defined as follows, wherein ax, ay, azExpression x, the acceleration in y, z direction,
S V M = a x 2 + a y 2 + a z 2 - - - ( 1 ) .
5. a kind of balanced ability of human body appraisal procedure based on smart mobile phone according to claim 1, it is characterised in that step Rapid B, the condition of the judgement is:KMO>0.6 and Sig<0.05.
6. a kind of balanced ability of human body appraisal procedure based on smart mobile phone according to claim 1, it is characterised in that:Step Rapid D, it is that and mobile phone and human body are with coordinate system phase with the double-legged center of human body as zero that gravity center of human body's coordinate figure sets With.
7. a kind of balanced ability of human body appraisal procedure based on smart mobile phone according to claim 1, it is characterised in that:Step Rapid D, the calculating process of the spin matrix is:
When rotating around z-axis, z-axis spin matrix is:
M Z = c o s &alpha; - sin &alpha; 0 s i n &alpha; cos &alpha; 0 0 0 1 - - - ( 2 )
In formula:For current time azimuth and the azimuthal difference of initial time;
When rotating around x-axis, x-axis spin matrix is:
M X = 1 0 0 0 cos &beta; - s i n &beta; 0 sin &beta; cos &beta; - - - ( 3 )
In formula:β is the difference of the current time angle of pitch and the initial time angle of pitch,
When rotating around y-axis, y-axis spin matrix is:
M Y = c o s &theta; 0 s i n &theta; 0 1 0 - sin &theta; 0 cos &theta; - - - ( 4 )
In formula:θ is the difference of current time roll angle and initial time roll angle,
Then spin matrix is:MXYZ=MXMYMZ(5).
8. a kind of balanced ability of human body appraisal procedure based on smart mobile phone according to claim 1, it is characterised in that step The meter of the height (z) of rapid D, gravity center of human body coordinate figure (x, y) in the horizontal direction and gravity center of human body's in the vertical direction Calculating formula is:
x t y t z t = M X Y Z x 0 y 0 z 0 - - - ( 6 ) .
9. a kind of balanced ability of human body appraisal procedure based on smart mobile phone according to claim 1, it is characterised in that:Step Rapid E, the balanced ability of human body achievement are calculated by following steps:
E1. the m item original index of tested person is standardized, balance energy is represented as numerical value is bigger in this m item index Power is poorer, therefore its standardization formula is:
x n * = &mu; - x n &sigma; - - - ( 7 )
Wherein xnFor n-th original index of tested person, μ is the average of all sample datas of n-th original index, and σ is n-th original The standard deviation of all sample datas of beginning index;
E2. the standardized value of each index corresponding with its index coefficient (being provided by coefficient matrix) is multiplied, then is added and obtains each Factor score fi, i.e.,:
f i = &Sigma; n = 0 m - 1 u n i x n * , i = 0 , 1 ... k - 1 - - - ( 8 )
Wherein uniThe coefficient of i-th factor corresponding to n-th original index, has m item original index;
E3. according to Factor Weight, it is weighted and collects, i.e.,:
f = &Sigma; i = 0 k - 1 f i S i % &Sigma; i = 0 k - 1 S i % - - - ( 9 )
Wherein Si% is the weight of i-th factor;
After obtaining comprehensive score f of user, carry out hundred-mark system numerical value and be converted to the comprehensive of user's achievement, i.e. balanced capacity Point.
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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107374586A (en) * 2017-07-05 2017-11-24 杭州电子科技大学 A kind of total balance of the body method for dynamically assessing and its device
CN107967931A (en) * 2017-12-29 2018-04-27 新绎健康科技有限公司 Balance data collector
CN108447562A (en) * 2018-02-28 2018-08-24 李赛 A kind of user movement capability assessment method and system
CN108606776A (en) * 2018-03-27 2018-10-02 复旦大学附属华山医院 A kind of balance test system
CN108877888A (en) * 2018-07-03 2018-11-23 杭州易脑复苏科技有限公司 A kind of motor function appraisal procedure and device
CN109271918A (en) * 2018-09-10 2019-01-25 西安理工大学 The method for distinguishing balanced capacity obstacle crowd based on centre-of gravity shift model
CN109528201A (en) * 2018-10-30 2019-03-29 天津科技大学 A kind of balanced capacity detection method
CN110931131A (en) * 2019-12-30 2020-03-27 华中科技大学鄂州工业技术研究院 Balance capability evaluation method and device
CN111700624A (en) * 2020-07-27 2020-09-25 中国科学院合肥物质科学研究院 Mode recognition method and system for detecting motion gesture of smart bracelet
CN113143218A (en) * 2021-05-14 2021-07-23 吉林大学 Device and method for testing human body autonomic balance capability in multiple dimensions

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102088902A (en) * 2008-01-23 2011-06-08 松下电工株式会社 Device for evaluating balance of center of gravity
US20130035613A1 (en) * 2011-08-02 2013-02-07 Chase Curtiss System and method for assessing postural sway and human motion
CN104783804A (en) * 2014-06-03 2015-07-22 合肥星服信息科技有限责任公司 Balance sensing remote monitoring device for hypertension patient

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102088902A (en) * 2008-01-23 2011-06-08 松下电工株式会社 Device for evaluating balance of center of gravity
US20130035613A1 (en) * 2011-08-02 2013-02-07 Chase Curtiss System and method for assessing postural sway and human motion
CN104783804A (en) * 2014-06-03 2015-07-22 合肥星服信息科技有限责任公司 Balance sensing remote monitoring device for hypertension patient

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* Cited by examiner, † Cited by third party
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CN107374586A (en) * 2017-07-05 2017-11-24 杭州电子科技大学 A kind of total balance of the body method for dynamically assessing and its device
CN107967931A (en) * 2017-12-29 2018-04-27 新绎健康科技有限公司 Balance data collector
CN107967931B (en) * 2017-12-29 2024-01-26 新绎健康科技有限公司 Body balance data collector
CN108447562A (en) * 2018-02-28 2018-08-24 李赛 A kind of user movement capability assessment method and system
CN108447562B (en) * 2018-02-28 2021-09-10 李赛一 User exercise capacity assessment method and system
CN108606776A (en) * 2018-03-27 2018-10-02 复旦大学附属华山医院 A kind of balance test system
CN108877888B (en) * 2018-07-03 2021-04-09 杭州易脑复苏科技有限公司 Motion function evaluation method and device
CN108877888A (en) * 2018-07-03 2018-11-23 杭州易脑复苏科技有限公司 A kind of motor function appraisal procedure and device
CN109271918B (en) * 2018-09-10 2021-11-16 西安理工大学 Method for distinguishing people with balance ability disorder based on gravity center shift model
CN109271918A (en) * 2018-09-10 2019-01-25 西安理工大学 The method for distinguishing balanced capacity obstacle crowd based on centre-of gravity shift model
CN109528201A (en) * 2018-10-30 2019-03-29 天津科技大学 A kind of balanced capacity detection method
CN110931131A (en) * 2019-12-30 2020-03-27 华中科技大学鄂州工业技术研究院 Balance capability evaluation method and device
CN110931131B (en) * 2019-12-30 2023-04-28 华中科技大学鄂州工业技术研究院 Balance capability evaluation method and device
CN111700624A (en) * 2020-07-27 2020-09-25 中国科学院合肥物质科学研究院 Mode recognition method and system for detecting motion gesture of smart bracelet
CN111700624B (en) * 2020-07-27 2024-03-12 中国科学院合肥物质科学研究院 Pattern recognition method and system for detecting motion gesture by intelligent bracelet
CN113143218A (en) * 2021-05-14 2021-07-23 吉林大学 Device and method for testing human body autonomic balance capability in multiple dimensions
CN113143218B (en) * 2021-05-14 2022-06-17 吉林大学 Device and method for testing human body autonomic balance capability in multiple dimensions

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