CN110292378A - Depression remote rehabilitation system based on the monitoring of E.E.G closed loop - Google Patents
Depression remote rehabilitation system based on the monitoring of E.E.G closed loop Download PDFInfo
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- CN110292378A CN110292378A CN201910587870.6A CN201910587870A CN110292378A CN 110292378 A CN110292378 A CN 110292378A CN 201910587870 A CN201910587870 A CN 201910587870A CN 110292378 A CN110292378 A CN 110292378A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
Abstract
The invention discloses a kind of depression remote rehabilitation systems based on the monitoring of E.E.G closed loop, the EEG signals Real-time Feedback situation generated in specific music, meditation or movement based on virtual reality by analysis patients with depression, adaptive adjustment music categories, meditation time and exercise intensity, to achieve the purpose that carry out self-assessment and rehabilitation to patients with depression.The present invention uses virtual reality technology to provide comfortable Curing circumstance for patient, the use of big data analysis method is that patient assesses and adjust therapeutic scheme using sensing capture technique acquisition brain electricity and motion information.The present invention includes client and server end, and client includes virtual scene module, rehabilitation module, brain wave acquisition module, motion pick module, processor and display, and server end includes cloud service module, database and data analysis module.Present device is simply light and handy, be conducive to patient at home, community hospital carry out rehabilitation, also be conducive to application and promote.
Description
Technical field
The present invention relates to computer aided medicine rehabilitation technique field more particularly to a kind of suppressions based on the monitoring of E.E.G closed loop
Strongly fragrant disease remote rehabilitation system is generated in specific music, meditation or movement based on virtual reality by analysis patients with depression
EEG signals Real-time Feedback situation, music categories, meditation time and exercise intensity are adaptively adjusted, to reach to depression
The purpose of patient progress self-assessment and rehabilitation.
Background technique
According to the statistics of the World Health Organization, depression alreadys exceed cardiovascular and cerebrovascular disease, becomes in developed country disease incidence most
High disease.Investigation display, there are about 90,000,000 patients with depression for China, account for the 6.4% of total population.Whole world patients with depression is about
Have 3.5 hundred million.Depression seriously perplexs the life and work of patient, brings heavy burden, about 15% suppression to family and society
Strongly fragrant disease patient dies of suicide.One joint study of the World Health Organization, the World Bank and Harvard University shows depression
The second serious disease as Chinese Disease Spectrum.
Depression be as caused by a variety of causes, basic Clinical symptoms show as " it is disproportionate significant with situation and
Lasting depressed, retardation of thinking and speech movement are reduced ".It is main to the common method for the treatment of of patients with depression at present
There are drug therapy and psychotherapy.Drug therapy is the primary treatment measure of the above paralepsy of moderate, the disadvantage is that some drugs
Adverse reaction is larger；Psychotherapy has positive effect to the paralepsy for having obvious psychosocial factor effect, especially to trouble
The cognitive behavioral therapy of person has very great help.In addition to the above method, research shows that movement is fought slightly to moderate depressive patients
Powerful mean, in addition there are meditation methods and music treatment, have positive effect, but patient to the mood regulation of patients with depression
It is generally difficult to adhere at home.
In order to enable light, moderate depressive patients patient to carry out Heal Thyself at home, the invention proposes one kind to be based on brain
The depression remote rehabilitation system of wave closed loop monitoring.By virtual reality technology (VR), with movement, meditation and music treatment,
The E.E.G information of forehead in therapeutic process is uploaded to cloud server, is analyzed and generated stable evaluation index,
Patient is fed back to, self rating and automatic adjusument rehabilitation scheme are used for.The advantages of this method is that patient can be monitored with closed loop
Emotional state, and exercise intensity, meditation time and music type are adaptively adjusted by VR technology, can safety to patient
Carry out psychosomatic treatment, system is convenient and suitable application and popularization.
Summary of the invention
In view of the above technical problems, the purpose of the present invention is to provide a kind of depression based on the monitoring of E.E.G closed loop is long-range
Rehabilitation system, with virtual reality technology, is set based on depression kinesiatrics, meditation therapy and music treatment for patient
Counting has the listening to music of incentive measure, meditates and motor task, and EEG signals are acquired in real time, analyze and handled, meter
Patients with depression rehabilitation training feedback parameter is calculated, and based on this to the exercise intensity of patients with depression, music categories, meditation state
Make adaptive adjustment and excitation.
To achieve the above object, the present invention is realized according to following technical scheme:
A kind of depression remote rehabilitation system based on the monitoring of E.E.G closed loop, which is characterized in that including client and service
Device end, client and server end carry out information transmitting by internet, and wherein client includes virtual scene module, rehabilitation mould
Block, brain wave acquisition module, motion pick module, processor and display, server end include cloud service module, database and
Data analysis module；Patient is in use, the brain electric equipment for first providing brain wave acquisition module is worn on forehead, then basis
The training therapy that personal interest, the Training scene for selecting virtual scene module to provide and rehabilitation module provide, if choosing
Athletic rehabilitation mode is selected, then needs further exist for being trained using the sports apparatus of mounted motion pick module, wherein institute
It states virtual scene module and generates the virtual scene for having the effect of releiving to mood, to provide good Curing circumstance, the rehabilitation module
Movement, music, meditation and combinations thereof rehabilitation therapy, the motion pick module are provided and are mounted on gyro sensor module auxiliary
It helps in sports equipment, its motion information is then acquired by patient motion, and motion information is transmitted everywhere by bluetooth equipment
Device is managed, and then is integrated into virtual scene module and shows；The brain wave acquisition module utilizes wear-type brain wave sensor pair
The E.E.G of forehead is acquired, and the signal of original EEG signals, attention, allowance is transmitted to by bluetooth equipment
Processor, and then be integrated into virtual scene module and show；
On the one hand the processor receives EEG signals and motor message by bluetooth, and sent it to by internet
Cloud service module；On the other hand adaptive to adjust virtual scene module and health by the feedback parameter of received cloud service module
The setting of multiple module, while the virtual three-dimensional scene of generation being exported by display；Cloud service module stores data into number
Big data analysis is carried out according to library, and by data analysis module, wherein the database purchase music, virtual scene model, trouble
Person's information, brain wave data and exercise data；Data analysis module makes an appraisal to depression in patients disease grade by analysis, and mentions
For feedback parameter, processor is transmitted to by cloud service module, and show by display；Patient passes through viewing display output
Virtual scene, feedback parameter, understand the rehabilitation efficacy of oneself, itself evaluated.
In above-mentioned technical proposal, the kinesiatrics in the rehabilitation module provides the movement mould of rope skipping, cycling, running
Formula, exercise intensity and run duration parameter options；Music treatment provides music libraries, music time and the volume of multiplicity
Option；Meditation therapy then provides meditation time option.
In above-mentioned technical proposal, the cloud service module building patients with depression is in different music, different movement moulds
The note of the original E.E.G of forehead, the big data platform of δ, θ, α, β wave signal and corresponding patients with depression under formula and meditation mode
Meaning power, the big data platform of allowance feedback parameter, and dynamic is increasing more with patient, type of sports and music categories
New basic database.
In above-mentioned technical proposal, wherein the processor analyzes patient motion data, exercise intensity, allowance and note are calculated
Power of anticipating variation, meditation status information, and δ, θ, α, β wave signal and feedback parameter are uploaded to cloud service mould by internet respectively
Block, while the modified parameter information that cloud service module feedback is returned is received, and adaptively adjust in rehabilitation module by algorithm
Exercise intensity, run duration, music type, the music time, volume and meditation time parameter.
In above-mentioned technical proposal, δ, θ, α, β wave and allowance, attention force parameter of the data analysis module according to patient
Variation tendency carries out big data analysis to the brain wave data of patient under different degrees of, different motion mode, different music treatments, leads to
It crosses and counts different patients in the brain wave data in different rehabilitation stages, the number occurred in Fixed Time Interval to δ, θ, α, β wave
Whether comparison, spike, spike and ware wave, high-amplitude θ/α wave occur carrying out comprehensive analysis and evaluation, and provide patients with depression evaluation mark
Quasi-, reasonable Exercise therapy for treatment of knee joint suggestion and parameter feedback, will pass through the treatment and case accumulation of more and more patients, to suffer from
Person provides accurately guidance and rehabilitation.
In above-mentioned technical proposal, the data analysis module carries out big data analysis by following steps:
Step S1: average value of tetra- wave bands of δ, θ, α, β within the set time, side in forehead EEG signal are extracted respectively
Difference, curvature entropy and spike frequency of occurrence, and overall allowance, attention index；
Step S2: in severe depression patient, modest depression patient, minor depressive patient and the collected brain telecommunications of normal person
Number, using the method for rule learning, obtain value range of 18 features under the different degrees of state of an illness；
Step S3: by calculate user using it is preceding and using extracted feature on rear EEG signals collected from it is different
The Euclidean distance of feature value under the state of an illness, to judge the rehabilitation efficacy of user；
Step S4: constantly integrating the eeg data of a large amount of patients beyond the clouds, is adjusted by rule learning dynamic and updates institute
The value range of feature is selected, is referred to until forming stable judgment criteria with the parameter feedback feedback that can represent rehabilitation validity
Mark；
Step S5: analyzing different patients in the rehabilitation course of different therapies, δ, θ, α, β tetra- in forehead EEG signal
Average value, variance, curvature entropy and spike frequency of occurrence of the wave band within the set time, and overall allowance, attention refer to
Mark situation of change；
Step S6: according to evaluation criterion and parameter feedback index, estimate different motion mode, music type and meditation shape
State, for the validity of depression rehabilitation, by the accumulation of prolonged case and big data analysis, to different motion, music class
Type and meditation gradually form stable evaluation index, for being referred to during Rehabilitation.
Compared with the prior art, the invention has the following advantages:
The present invention is selected to the advantageous music of patients with depression, movement and meditation therapy, and combines virtual reality scenario
Incentive measure increases therapeutic effect, promotes the long-term supporting capability and treatment interest of patient；Use brainwave feedback, real-time monitoring
Patient mood state, and be uploaded to cloud server and establish brain TV university data platform, will pass through a large amount of case comprehensive analysis
Effect provides relatively reliable evaluating basis for patient, and guides client that therapeutic scheme is adjusted flexibly；The present invention facilitates height
Effect, equipment is simply light and handy, is conducive to family, community, hospital's use, convenient for application and promotes.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is entire block diagram of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.
In the description of the present invention, it is to be understood that, term " radial direction ", " axial direction ", "upper", "lower", "top", "bottom",
The orientation or positional relationship of the instructions such as "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of retouching
It states the present invention and simplifies description, rather than the device or element of indication or suggestion meaning must have a particular orientation, with specific
Orientation construction and operation, therefore be not considered as limiting the invention.In the description of the present invention, unless otherwise indicated,
The meaning of " plurality " is two or more.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation " " is set
Set ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
It, can also be indirectly connected through an intermediary to be to be connected directly.It for the ordinary skill in the art, can basis
Concrete condition understands the concrete meaning of above-mentioned term in the present invention.
A kind of depression remote rehabilitation system based on the monitoring of E.E.G closed loop of the invention, as shown in Figure 1, the system includes
Client and server end, wherein client includes virtual scene module, rehabilitation module, brain wave acquisition module, motion pick mould
Block, processor and display, server end include cloud service module, database and data analysis module, client and service
Device end carries out information transmitting by internet.
Wherein, virtual scene module is mainly used for generating the virtual scene for having the effect of releiving to mood, is well controlled with providing
Treat environment.Virtual scene module mainly includes two class virtual reality scenarios: music scenario and moving scene.Include in music scenario
The automatic screening mechanism of music is realized in music place and setting according to feedback result；It include different person models in moving scene
And different three-dimensional motion places are shown, and the machine of run duration and intensity set automatically is realized in setting according to feedback result
System.Virtual scene module is illustrated by taking rope skipping scene as an example in the present embodiment, and the person model provided has cartoon character
Model, ancient costume model, modern times are dressed up model, game charater model etc., the place provided include playground, seashore, labyrinth, Royal Palace,
Residential area, villa etc..
The rehabilitation module is mainly used for providing a variety of rehabilitation therapies, including kinesiatrics, music treatment and meditation are treated
Method, and movement, music, the various combination therapy of meditation.Wherein kinesiatrics provides the movements such as rope skipping, cycling, running
Mode, music treatment provide various music libraries, and meditation then provides meditation time option.In the present embodiment rehabilitation module with
It is illustrated for rope skipping in kinesiatrics.Patient can select person model and training court according to personal interest.Rope skipping speed
Metric fixed 30~60 times per minute are qualification, 10 minutes a length of when movement every time.Exercise intensity can be carried out in motion process real
When monitor, supervise and encourage patient complete rehabilitation task；The Real-time Feedback of α wave and allowance, monitoring rope skipping fortune are carried out simultaneously
Dynamic whether to have positive effect to patient, if exception occurs to patient in E.E.G during the motion, adjustment movement in time is strong
Degree is until patient has preferable allowance and α wave table existing；Music libraries in the present embodiment, will be by test normal person for not
α wave and allowance with music show, and the music for playing the role of releiving to mood is sorted out, and in the training process, encourage
Patient is selected in categorized good music by interest, in rehabilitation course, if patient is listening certain a piece of music process
There is exception in middle E.E.G, then adjusts music categories in time until there is patient preferable allowance and α wave table to show；In the present embodiment
Meditation, will choose whether to execute by patient after exercise.
Brain wave acquisition module is mainly acquired the E.E.G of forehead using wear-type brain wave sensor, and will
Signal is transmitted in virtual scene by bluetooth equipment.Brain wave acquisition module described in the present embodiment uses brain electricity TGAM mould
Block, acquire the original brain wave of forehead, by the sensor can directly obtain the original EEG signals of tetra- wave bands of δ, θ, α, β and specially
The indexs such as note degree, allowance, and virtual scene module is transferred to by bluetooth equipment.
Gyro sensor module is mounted in synkinesia equipment by motion pick module, is then adopted by patient motion
Collect its motion information, and motion information is transmitted in virtual scene by bluetooth equipment.Movement described in the present embodiment is adopted
Collect module and use BWT901CL inclinator accelerometer gyroscope sensor, after connecting battery, is mounted on rope skipping rope upper.
The information such as the acceleration, angular speed and angle of acquisition are transferred to virtual scene module by bluetooth equipment by BWT901CL.
Processor is mainly used for receiving EEG signals and motion information, analyzes patient motion data, calculate exercise intensity,
Allowance and attention change, meditation status information, and by δ (1-3Hz), θ (4-7Hz), α (8-13Hz), β (14-
30Hz) wave signal and feedback parameter are uploaded to cloud service module by internet, while receiving what cloud service module feedback was returned
Parameter information, and exercise intensity, music type, meditation time are adaptively adjusted by algorithm, and pass through algorithm adaptive updates
Therapeutic scheme.
Processor described in the present embodiment is computer, and wherein exercise data analysis method is as follows:
Step 1, vertical, three directions of advance and left and right acceleration a when patient's bounce is obtainedx、ay、az, obtain patient
The sinusoidal path of bounce.
Step 2, a preceding vector length l is recordedn-1With direction of motion vi(i=1,2,3), passes through the variation of vector length
L=ln-ln-1 (1)
lnFor current vector length, the direction a of current acceleration is judgedn。
Step 3, previous acceleration direction an-1, direction a with current accelerationnOn the contrary, then being counted, repeatedly
It is cumulative, obtain times of exercise.
Step 4, length change threshold h and change frequency f removal interference bounce is set, real times of exercise is obtained.
Display is mainly used for showing virtual scene and display interface.Display described in the present embodiment is that computer is aobvious
Display screen.
Cloud service module, for constructing the big data platform and music, movement of patients with depression forehead E.E.G information, with
And the big data platform of feedback parameter, and update basic database.Patient is constructed in cloud service module described in the present embodiment
The big data platform of the feedback parameter provided after forehead E.E.G information, the motion information of rope skipping and data module analysis when movement.
Data analysis module carries out big according to δ, θ, α, β wave and allowance of a large amount of patients, attention parameter variation tendency
Data analysis, by counting brain wave data of the different patients in the different rehabilitation stages, to δ, θ, α, β wave in Fixed Time Interval
Whether how much comparisons of appearance, spike, spike and ware wave, high-amplitude θ/α wave occur carrying out comprehensive analysis and evaluation, and provide more accurate
Patients with depression evaluation criteria and more reasonable parameter feedback are will pass through the treatment and case accumulation of more and more patients
Patient with instructional.
Data analysis module carries out big data analysis by following steps:
Step S1: average value of tetra- wave bands of δ, θ, α, β within the set time, side in forehead EEG signal are extracted respectively
Difference, curvature entropy and spike frequency of occurrence, and overall allowance, attention index；
Step S2: in severe depression patient, modest depression patient, minor depressive patient and the collected brain telecommunications of normal person
Number, using the method for rule learning, obtain value range of 18 features under the different degrees of state of an illness；
Step S3: by calculate user using it is preceding and using extracted feature on rear EEG signals collected from it is different
The Euclidean distance of feature value under the state of an illness, to judge the rehabilitation efficacy of user.
By comparing the Euclidean distance of the feature critical value of the two neighboring state of an illness state of characteristic distance before and after user's use,
To judge the rehabilitation efficacy of user.
Step S4: constantly integrating the eeg data of a large amount of patients beyond the clouds, is adjusted by rule learning dynamic and updates institute
The value range of feature is selected, is referred to until forming stable judgment criteria with the parameter feedback feedback that can represent rehabilitation validity
Mark；
Step S5: different patients (such as music of single movement, fixed type in the rehabilitation course of different therapies is analyzed
Stimulation, or meditation), average value, variance, curvature entropy of tetra- wave bands of δ, θ, α, β within the set time in forehead EEG signal
With spike frequency of occurrence, and overall allowance, attention index situation of change；
Step S6: according to evaluation criterion and parameter feedback index, estimation different motion mode, music type and meditation shape
State, for the validity of depression rehabilitation, by the accumulation of prolonged case and big data analysis, to different motion, music class
Type and meditation gradually form stable evaluation index, for being referred to during Rehabilitation.
Database is for storing all kinds of numbers such as music, virtual scene model, patient information, brain wave data and exercise data
According to.Time, the intensity of database purchase virtual scene model described in the present embodiment, patient information, brain wave data and rope skipping
With the information such as number.
Below to skip rope in kinesiatrics as embodiment, workflow of the invention is described further:
1) patient opens depression remote rehabilitation system client software of the invention using processor (personal PC machine), leads to
Virtual reality module, rehabilitation module and big data are crossed for the rehabilitation efficacy assessment result of different motion and music, selects oneself
It is interested or to oneself advantageous virtual rope skipping scene, virtual portrait and rehabilitation therapy mode (such as kinesiatrics, movement+music
Therapy or movement+meditation therapy)；
2) after the completion of selecting, patient wears the equipment for being equipped with TGAM module in forehead, and will be equipped with BWT901CL top
The rope skipping of spiral shell instrument module is placed in hand, and preparation starts to train；
3) it is qualification that initial regimens, which are 30-60 times per minute, 10 minutes a length of when movement every time, if selection sound
Happy therapy will increase 10 minutes musical therapies after movement, if selection meditation therapy, will increase 10 points after exercise
The meditation of clock is treated.
4) over the course for the treatment of, brain electric equipment acquires EEG signals in real time, and gyroscope acquires motor message in real time, and passes through
Bluetooth transfers data to personal PC machine；The personal PC machine for being equipped with depression remote rehabilitation system client software can be located in real time
Collected signal is managed, and cloud service module is upload the data to by internet；
5) cloud service module stores data into database, and the depression etc. of patient is evaluated by data analysis module
Grade, the physical training condition for calculating feedback parameter feedback patient, therapeutic effect simultaneously adjust patient's training by virtual reality module in time
State, such as whether pause or increase training strength, if replacement music type etc., and given treatment advice；
6) personal PC machine passes through connection display display output virtual scene, the parameter of cloud server terminal feedback, local computing
Times of exercise, run duration and cloud server terminal feedback treatment advice；
7) patient understands individual training situation by parameter, the treatment advice of observation feedback.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow
Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (6)
1. a kind of depression remote rehabilitation system based on the monitoring of E.E.G closed loop, which is characterized in that including client and server
End, client and server end carry out information transmitting by internet, and wherein client includes virtual scene module, rehabilitation mould
Block, brain wave acquisition module, motion pick module, processor and display, server end include cloud service module, database and
Data analysis module；Patient is in use, the brain electric equipment for first providing brain wave acquisition module is worn on forehead, then basis
The training therapy that personal interest, the Training scene for selecting virtual scene module to provide and rehabilitation module provide, if choosing
Athletic rehabilitation mode is selected, then needs further exist for being trained using the sports apparatus of mounted motion pick module, wherein institute
It states virtual scene module and generates the virtual scene for having the effect of releiving to mood, to provide good Curing circumstance, the rehabilitation module
Movement, music, meditation and combinations thereof rehabilitation therapy, the motion pick module are provided and are mounted on gyro sensor module auxiliary
It helps in sports equipment, its motion information is then acquired by patient motion, and motion information is transmitted everywhere by bluetooth equipment
Device is managed, and then is integrated into virtual scene module and shows；The brain wave acquisition module utilizes wear-type brain wave sensor pair
The E.E.G of forehead is acquired, and the signal of original EEG signals, attention, allowance is transmitted to by bluetooth equipment
Processor, and then be integrated into virtual scene module and show；
On the one hand the processor receives EEG signals and motor message by bluetooth, and send it to cloud clothes by internet
Business module；On the other hand adaptive to adjust virtual scene module and rehabilitation mould by the feedback parameter of received cloud service module
The setting of block, while the virtual three-dimensional scene of generation being exported by display；Cloud service module stores data into database,
And big data analysis is carried out by data analysis module, wherein the database purchase music, virtual scene model, Huan Zhexin
Breath, brain wave data and exercise data；Data analysis module makes an appraisal to depression in patients disease grade by analysis, and provides anti-
Feedforward parameter is transmitted to processor by cloud service module, and is shown by display；The void that patient passes through viewing display output
Quasi- scene, feedback parameter, understand the rehabilitation efficacy of oneself, evaluate to itself.
2. depression remote rehabilitation system according to claim 1, which is characterized in that the movement in the rehabilitation module is treated
Method provides motor pattern, exercise intensity and the run duration parameter options of rope skipping, cycling, running；Music treatment provides more
Music libraries, music time and the volume option of sample；Meditation therapy then provides meditation time option.
3. depression remote rehabilitation system according to claim 2, which is characterized in that the cloud service module building depression
The big number of disease the patient original E.E.G of forehead, δ, θ, α, β wave signal under different music, different motor patterns and meditation mode
According to the attention of platform and corresponding patients with depression, the big data platform of allowance feedback parameter, and with patient, movement
The dynamic that is increasing of type and music categories updates basic database.
4. depression remote rehabilitation system according to claim 3, which is characterized in that wherein the processor analyzes patient
Exercise data calculates exercise intensity, allowance and attention change, meditation status information, and respectively by δ, θ, α, β wave signal and
Feedback parameter is uploaded to cloud service module by internet, while receiving the modified parameter letter that cloud service module feedback is returned
Breath, and exercise intensity, run duration, music type, music time, sound in rehabilitation module are adaptively adjusted by algorithm
Amount and meditation time parameter.
5. depression remote rehabilitation system according to claim 4, which is characterized in that the data analysis module is according to trouble
δ, θ, α, β wave and allowance of person, attention parameter variation tendency are to different degrees of, different motion mode, different music treatments
The brain wave data of lower patient carries out big data analysis, by counting brain wave data of the different patients in the different rehabilitation stages, to δ,
Whether how much comparisons that θ, α, β wave occur in Fixed Time Interval, spike, spike and ware wave, high-amplitude θ/α wave occur carrying out comprehensive point
Analysis and evaluation, and patients with depression evaluation criteria, reasonable Exercise therapy for treatment of knee joint suggestion and parameter feedback are provided, will pass through more
The treatment and case accumulation for carrying out more patients, provide accurately guidance and rehabilitation for patient.
6. depression remote rehabilitation system according to claim 5, which is characterized in that the data analysis module by with
Lower step carries out big data analysis:
Step S1: average value, variance, song of tetra- wave bands of δ, θ, α, β within the set time in forehead EEG signal are extracted respectively
Rate entropy and spike frequency of occurrence, and overall allowance, attention index；
Step S2: in severe depression patient, modest depression patient, minor depressive patient and the collected EEG signals of normal person,
Using the method for rule learning, value range of 18 features under the different degrees of state of an illness is obtained；
Step S3: by calculating user before and using extracted feature on rear EEG signals collected and the different state of an illness
The Euclidean distance of lower feature value, to judge the rehabilitation efficacy of user；
Step S4: constantly integrating the eeg data of a large amount of patients beyond the clouds, is adjusted by rule learning dynamic and updates selected spy
The value range of sign, until forming stable judgment criteria feeds back index with the parameter feedback that can represent rehabilitation validity；
Step S5: analyzing different patients in the rehabilitation course of different therapies, tetra- wave bands of δ, θ, α, β in forehead EEG signal
Average value, variance, curvature entropy and spike frequency of occurrence within the set time, and overall allowance, attention index become
Change situation；
Step S6: according to evaluation criterion and parameter feedback index, estimating different motion mode, music type and meditation state, right
In the validity of depression rehabilitation, by the accumulation of prolonged case and big data analysis, to different motion, music type and underworld
Want to gradually form stable evaluation index, for being referred to during Rehabilitation.
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| CN111292836A (en) * | 2020-03-09 | 2020-06-16 | 中山大学附属第五医院 | Standardization system and application for patient psychological nursing in major public health event |
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