CN110060780A - A kind of cerebral apoplexy hand rehabilitation training system and method - Google Patents

A kind of cerebral apoplexy hand rehabilitation training system and method Download PDF

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Publication number
CN110060780A
CN110060780A CN201910308672.1A CN201910308672A CN110060780A CN 110060780 A CN110060780 A CN 110060780A CN 201910308672 A CN201910308672 A CN 201910308672A CN 110060780 A CN110060780 A CN 110060780A
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patient
information
data
system controller
rehabilitation
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贾江鸣
李雄伟
崔涵钧
洪奕添
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Zhejiang Sci Tech University ZSTU
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Zhejiang Sci Tech University ZSTU
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61HPHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H1/00Apparatus for passive exercising; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
    • A61H1/02Stretching or bending or torsioning apparatus for exercising
    • A61H1/0274Stretching or bending or torsioning apparatus for exercising for the upper limbs
    • A61H1/0285Hand
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61HPHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H2201/00Characteristics of apparatus not provided for in the preceding codes
    • A61H2201/16Physical interface with patient
    • A61H2201/1602Physical interface with patient kind of interface, e.g. head rest, knee support or lumbar support
    • A61H2201/165Wearable interfaces
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61HPHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H2201/00Characteristics of apparatus not provided for in the preceding codes
    • A61H2201/50Control means thereof
    • A61H2201/5058Sensors or detectors
    • A61H2201/5071Pressure sensors
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61HPHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
    • A61H2230/00Measuring physical parameters of the user
    • A61H2230/08Other bio-electrical signals
    • A61H2230/085Other bio-electrical signals used as a control parameter for the apparatus

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Pain & Pain Management (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Rehabilitation Therapy (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Rehabilitation Tools (AREA)

Abstract

The invention discloses a kind of cerebral apoplexy hand rehabilitation training system and methods, comprising: driver is acquired for sMEG;System controller, the system controller are connect with driver, are used for transmission sMEG information;The network platform;The network platform is connect with system controller, is exchanged for doctor with patient.Solves China's patient's large population base, one-to-one medical care treatment is unrealistic;The problem of therapy rehabilitation expense and import rehabilitation appliances somewhat expensive of hospital.

Description

A kind of cerebral apoplexy hand rehabilitation training system and method
Technical field
The invention belongs to cerebral apoplexy hand rehabilitation training fields, specifically, the present invention relates to a kind of cerebral apoplexy hand health System and method is practiced in refreshment.
Background technique
Chinese chronic disease conference in 2018 reports that there are about 12,000,000 paralytics in current China, every year with 20%- 30% speed increases, it is contemplated that the year two thousand thirty apoplexy number is more than 30,000,000.Wherein there are about 3/4ths patient people to lose labor Kinetic force, the remaining years require to nurse by others.The apoplexy disability rate of developed country is 30% or so, and Chinese disability rate is up to 75% or more, mainly it is the absence of the rehabilitation of effective, lasting science.Stroke patient can train slowly rehabilitation by the later period, The successive treatment of China's apoplexy has the following problems:
1), China patient large population base, one-to-one medical care treatment are unrealistic;
2), the therapy rehabilitation expense of hospital and import rehabilitation appliances somewhat expensive.
3), Traditional Rehabilitation instrument needs manual operation and movement is single, body material instrument with finger is incompatible is easy to make At secondary injury.
Summary of the invention
It is an object of that present invention to provide a kind of cerebral apoplexy hand rehabilitation training system and methods, to solve above-mentioned background technique China's patient's large population base of middle proposition, one-to-one medical care treatment are unrealistic;The therapy rehabilitation expense of hospital and import The problem of rehabilitation appliances somewhat expensive.
To achieve the goals above, the technical scheme adopted by the invention is as follows: a kind of cerebral apoplexy hand rehabilitation training system, packet It includes:
Driver is acquired for sMEG;
System controller, the system controller are connect with driver, are used for transmission sMEG information;
The network platform;The network platform is connect with system controller, is exchanged for doctor with patient.
Further, the network platform includes:
Patient information library, to store patient information;
Rehabilitation information bank, to collect and store the rehabilitation information of paralytic;
Data processing module, to arrange the data with the transmission of statistical analysis system controller;
Memory module calculates the data after analysis to storing data processing module;
Cloud platform is visited to store patient information library, rehabilitation information bank, the data in memory module for doctor and patient It asks;
Display screen, the display screen are connect with cloud platform, to show the information in cloud platform.
Further, the system controller includes:
Liquid crystal display is used for human-computer interaction;
ARM control panel is used for data processing and transmission;
Traffic filter is filtered for signal;
Protective relaying device, custom system protection, protective relaying device are used for system protection, the protective relaying device Device is protected including earth leakage protective device and current overload;
The liquid crystal display, traffic filter and protective relaying device are electrically connected with ARM control panel.
A kind of method of cerebral apoplexy hand rehabilitation training, includes the following steps:
S1, logging data: the information of patient information library storage patient's typing;
S2, sMEG acquisition: system controller carries out sMEG acquisition to patient, and the information of acquisition is depicted as signature tune Line;
S3, data upload: cloud platform reads the patient information in patient information library and the signal of system controller drafting Curve;
S4, new database is established: after data processing module carries out calculating analysis to the signal curve for being uploaded to cloud platform, shape The data of Cheng Xin;
S5, data save: memory module saves new data;
S6, make diagnosis: doctor diagnoses the rehabilitation situation of patient, sentences by transferring the data in memory module Whether disconnected Rehabilitation situation is qualified;
S7, reading data: cloud platform reads the diagnostic result that doctor makes;
S8, data transmission, display screen receive the diagnosis of cloud platform reading as a result, display screen shows diagnostic result Come.
Preferably, the driver includes:
Pressure sensor, just to acquire finger pressure signal;
Flexible bending sensor, to acquire digital flexion signal;
Electromyography signal sensor, to acquire electromyography signal, i.e. sMEG acquisition, the pressure sensor, flexible bending are passed Sensor, electromyography signal sensor are connect with system controller.
Further, include the following steps: in the S2
It determines initial rehabilitation modality: rehabilitation modality is selected by liquid crystal display;
Information collection: ARM control panel receives pressure sensor 31, flexible bending sensor 32, electromyography signal sensor To information be acquired;
Filtering: traffic filter is filtered the collected information of ARM control panel;
Modeling: according to the algorithm of inner setting signal curve is made in filtered information by ARM control panel.
Preferably, ARM control panel includes emergency stop function.
The invention has the benefit that the sMEG, digital flexion signal and finger pressure transducing signal of paralytic Feature extraction and modeling are carried out, the signal for acquiring sEMG is established rehabilitation model, evaluated rehabilitation process, while can also carry out Electromyography signal analog-driven, collected signal under simulation can drive limbs to what degree, verify rehabilitation model.System It can be uploaded to cloud platform while automatically analyzing and solicit doctor's opinion, realize the function of evaluation conditions of patients, while being patient Match different rehabilitation control programs.
Detailed description of the invention
Fig. 1 is activation configuration schematic diagram described in the specific embodiment of the invention;
Fig. 2 is a kind of cerebral apoplexy hand rehabilitation training system work flow diagram described in the specific embodiment of the invention;
Fig. 3 is driver workflow road described in the specific embodiment of the invention;
Fig. 4 is network platform work flow diagram described in the specific embodiment of the invention;
Fig. 5 is Multicarity software activation configuration schematic diagram described in the specific embodiment of the invention.
Wherein: 31, pressure sensor;32, flexible bending sensor;33, glove bulk;5, Multicarity software driver; 51, tracheae;53, deformable cavity;54, venthole;55, bottom confinement layer;56, articulamentum;57, tracheae limiting layer;58, cavity.
Specific embodiment
Below against attached drawing, by the description of the embodiment, making to a specific embodiment of the invention further details of Explanation, it is therefore an objective to those skilled in the art be helped to have more complete, accurate and deep reason to design of the invention, technical solution Solution, and facilitate its implementation.
As shown in Figures 1 to 5, a kind of cerebral apoplexy hand rehabilitation training system, comprising: driver is acquired for sMEG;System System controller, system controller are connect with driver, are used for transmission sMEG information;The network platform;The network platform and system control Device connection, exchanges for doctor with patient;
As shown in Figure 1, driver includes,
Glove bulk 33, glove bulk 33 includes fingerstall, corresponding with five fingers of human body there are five fingerstall is set, respectively Thumb fingerstall, index finger fingerstall, middle finger fingerstall, nameless fingerstall and little finger fingerstall, fingerstall external upper are equipped with cavity Set;Multicarity software driver 5, it is internal that Multicarity software driver 5 is set to cavity set;Pressure sensor 31, pressure sensor 31 are set to fingerstall front end, to acquire finger pressure signal;Flexible bending sensor 32, flexible bending sensor 32 are set to cavity Inner surface is covered, to acquire digital flexion signal;Electromyography signal sensor is used for collection surface electromyography signal, i.e. acquisition sMEG, The pressure sensor, flexible bending sensor, electromyography signal sensor are connect with system controller.
System controller includes: liquid crystal display, ARM control panel, traffic filter and protective relaying device, is had Data processing, control program execute and the function of system backup protection, liquid crystal display, traffic filter and relay protection dress It sets and is electrically connected with ARM control panel, pressure sensor 31, flexible bending sensor 32 are electrically connected with ARM control panel, after Electrical protective device is used for system protection, and the protective relaying device includes earth leakage protective device and current overload shield device, for protecting Equipment is not destroyed.
User protrudes into hand in glove bulk 33, and finger protrudes into corresponding fingerstall, and electromyography signal sensor is affixed on user Arm surface is carved at the beginning, user by the instruction on liquid crystal display select rehabilitation mode or doctor by backstage for Patient selects initial rehabilitation modality, and system controller control driver executes order, during rehabilitation training, electromyography signal sensing The signals such as device, gloves internal pressure sensor 31 and 32 moment of flexible bending sensor acquisition hand pressure feed back to system main-control Platform processed, wherein pressure sensor 31 is for transmitting pressure signal of patient's finger when bending, flexible bending sensor 32 For transmitting patient's digital flexion degree signal, the traffic filter in system controller is controlled after filtering signal according to ARM Set algorithm in making sheet draws signal curve, and the signal curve of drafting is transmitted to the network platform for doctor by the system controller moment Raw reference, doctor can be according to data feedback, and inputs new control instruction, and new control instruction feeds back to trouble via the network platform Person, patient are configured on liquid crystal display according to the feedback of doctor, after ARM control panel receives instruction, control driver pair Patient carries out rehabilitation training.
Multicarity software driver 5 includes: cavity 58, and cavity 58 includes several deformable cavities 53, and 53 section of deformable cavity is Rectangle;Tracheae 51,51 one end of tracheae are connected with gas source, and the other end of tracheae 51 is connected to cavity 58;Venthole 54, same chamber Between deformable cavity 53 on body 58, it is connected to by venthole 54.Pedestal, pedestal include tracheae limiting layer 57 from top to bottom, deformation Chamber 53 is fixedly connected with tracheae limiting layer 57, and tracheae 51 is set in tracheae limiting layer 57;Articulamentum 56 is equipped with inside articulamentum 56 One layer of thin reticular fibre, to enhance the intensity and hardness of pedestal, prevent Multicarity software driver 5 occur except along finger orientation with Outer bending;Bottom confinement layer 55 keeps the integrality of pedestal, the stability of structure.
Multicarity software driver 5 in index finger fingerstall, middle finger fingerstall, nameless fingerstall and little finger fingerstall includes three A cavity 58 is followed successively by finger tip air cavity, refers to middle air cavity and tail portion air cavity, respectively with index finger, middle finger, the third finger and little finger Joint is corresponding;Multicarity software driver 5 in thumb fingerstall includes two cavitys 58, is followed successively by lower cavity and upper chambers Body, it is corresponding with the joint of thumb respectively.
Tracheae limiting layer 57, articulamentum 56, bottom confinement layer 55 are made of silica gel material.
The quantity of deformable cavity 53 can be customized according to the length of patient's joint, to tracheae 51 inside be inflated, tracheae 51 are connected to deformable cavity 53, and multiple deformable cavities 53 on same cavity 58 are interconnected, therefore due to being filled with gas in deformable cavity 53 Body and expand, deformable cavity 53 is filled into circle, so that mutual extrusion occurs between deformable cavity 53, provides sufficient shape for bending Power required for becoming, is finally bent cavity, by gas-powered glove bulk 33, patient adaptability is good, safe and reliable.
Gas source includes: air compressor air storage tank, and air compressor air storage tank is connect with tracheae;Filtering pressure reducing valve, filtering pressure reducing valve with Air compressor air storage tank;Electric Proportion valve, electric Proportion valve are connect with filtering pressure reducing valve, and electric Proportion valve and ARM control panel are electrical Connection.The switch of electric Proportion valve is controlled using ARM control panel to realize inflation/deflation, when the selection of ARM control panel is opened, Electric Proportion valve is opened, and the gas of air compressor air storage tank enters tracheae 51 by filtering pressure reducing valve, electric Proportion valve and realizes that bending is dynamic Make.When the selection of ARM control panel is closed, since the air pressure in deformable cavity 53 is far longer than ambient pressure, therefore deformable cavity 53 is gradually It deflates, it is automatic to restore to the original state.It is that many experiments is selected to measure an angle value as threshold values, when greater than this valve when opening Value will select open, and otherwise will not inflate.
The air compressor air storage tank is miniature gas storage tank, and is connected with micro air pump on the miniature gas storage tank.
ARM control panel includes emergency stop function, is embodied in internal voluntarily stopping and external interrupt routine by force instructs.It is interior Portion voluntarily stops: air pressure detection module is provided in deformable cavity 53 and tracheae 51, air pressure detection module and ARM control panel are electrical Connection, when the rupture of deformable cavity 53 occur in gloves or tracheae 51 ruptures, ARM control panel detects a certain 53 air pressure wink of deformable cavity Between reduce or inner gas pressure is constant, program executes interruptions, training pressure stopping;It is external to interrupt by force: in the control of liquid crystal display In interface processed be arranged emergent stopping key, user occur special status click emergent stopping key system can automatic interrupt routine hold Row.
The network platform includes: patient information library, to store patient information;Rehabilitation information bank, in collecting and store The rehabilitation information of wind patient;Data processing module, to calculate the data of analysis system controller transmission;Memory module, to Storing data processing module calculates the data after analysis;Cloud platform, to store patient information library, rehabilitation information bank, storage mould Data in block, for doctor and access;Display screen, display screen are connect with cloud platform, to show the information in cloud platform.
When patient carries out rehabilitation modality, the data that it is generated will be real-time transmitted to cloud platform and be stored, and pass through number According to processing module, the data of system controller transmission are arranged and statisticallyd analyze, and calculated result is saved as to new number According to data can be all saved each time, and doctor is by comparing multiple data, to diagnose to the rehabilitation situation of patient, patient The information of oneself can also be transferred from cloud platform.
Step:
S1, logging data: the information of patient information library storage patient's typing;
S2, sMEG acquisition: system controller carries out sMEG acquisition to patient, and the information of acquisition is depicted as signature tune Line;
S3, data upload: cloud platform reads the patient information in patient information library and the signal of system controller drafting Curve;
S4, establish new database: data processing module is collected the signal curve for being uploaded to cloud platform, is formed new Data, and any number of signal curves can be compared;
S5, data save: memory module saves new data;
S6, make diagnosis: doctor diagnoses the rehabilitation situation of patient by transferring the data in memory module, leads to The paired observation to signal curve is crossed, judges whether Rehabilitation situation is qualified, if qualified carry out next stage treatment, if Unqualified needs return is treated again;
S7, reading data: cloud platform reads the diagnostic result that doctor makes;
S8, data transmission, display screen receive the diagnosis of cloud platform reading as a result, display screen shows diagnostic result Come.
Display screen may further be used to transfer the patient information in cloud platform for patient.
S2 includes the following steps:
It determines initial rehabilitation modality: rehabilitation modality is selected by liquid crystal display;
Information collection: ARM control panel receives pressure sensor 31, flexible bending sensor 32, electromyography signal sensor To information be acquired;
Filtering: traffic filter is filtered the collected information of ARM control panel;
Modeling: according to the algorithm of inner setting signal curve is made in filtered information by ARM control panel.
For each patient when using driver, the signal curve of output can be all uploaded to depositing for cloud platform by system controller It stores up in module, doctor can judge the rehabilitation situation of patient according to the signal curve of Rehabilitation this period training, be convenient for doctor Quick diagnosis reduces the number that patient goes to hospital.
Concrete operating principle and step: user protrudes into hand in glove bulk 33, and finger protrudes into corresponding fingerstall, myoelectricity Signal transducer is affixed on user's arm surface, carves at the beginning, the mould that user passes through the instruction selection rehabilitation on liquid crystal display By being from the background that patient selects initial rehabilitation modality, system controller control driver executes order, instructs in rehabilitation by formula or doctor During white silk, electromyography signal sensor, gloves internal pressure sensor 31 and 32 moment of flexible bending sensor acquire hand pressure Equal signals feed back to system main-control platform, wherein pressure sensor 31 is for transmitting pressure of patient's finger when bending Signal, for flexible bending sensor 32 for transmitting patient's digital flexion degree signal, the traffic filter in system controller will Signal curve is drawn according to the set algorithm in ARM control panel after signal filtering, the system controller moment is by the signal of drafting Curve is transmitted to the network platform and refers to for doctor, and doctor can be according to data feedback, and inputs new control instruction, and new control refers to It enables and feeds back to patient via the network platform, patient is configured on liquid crystal display according to the feedback of doctor, and ARM control panel connects After receiving instruction, control driver carries out rehabilitation training to patient.
The quantity of deformable cavity 53 can be customized according to the length of patient's joint, to tracheae 51 inside be inflated, tracheae 51 are connected to deformable cavity 53, and multiple deformable cavities 53 on same cavity 58 are interconnected, therefore due to being filled with gas in deformable cavity 53 Body and expand, deformable cavity 53 is filled into circle, so that mutual extrusion occurs between deformable cavity 53, provides sufficient shape for bending Power required for becoming, is finally bent cavity, by gas-powered glove bulk 33, patient adaptability is good, safe and reliable.
When patient carries out rehabilitation modality, the data that it is generated will be real-time transmitted to cloud platform and be stored, and pass through number According to processing module, calculating analysis is carried out to the data of system controller transmission, and calculated result is saved as to new data, it is each Secondary data can be all saved, and doctor is by comparing multiple data, to diagnose to the rehabilitation situation of patient.Each patient makes When with driver, the signal curve of output can be all uploaded in the memory module of cloud platform by system controller, and doctor can basis The signal curve of Rehabilitation this period training judges the rehabilitation situation of patient, is convenient for doctor's quick diagnosis, reduces patient Remove the number of hospital.
The present invention is exemplarily described in conjunction with attached drawing above, it is clear that the present invention implements not by above-mentioned side The limitation of formula, as long as using the improvement for the various unsubstantialities that the inventive concept and technical scheme of the present invention carry out;Or not It is improved, above-mentioned conception and technical scheme of the invention are directly applied into other occasions, in protection scope of the present invention Within.

Claims (7)

1. a kind of cerebral apoplexy hand rehabilitation training system characterized by comprising
Driver is acquired for sMEG;
System controller, the system controller are connect with driver, are used for transmission sMEG information;
The network platform;The network platform is connect with system controller, is exchanged for doctor with patient.
2. a kind of cerebral apoplexy hand rehabilitation training system according to claim 1, which is characterized in that the network platform packet It includes:
Patient information library, to store patient information;
Rehabilitation information bank, to collect and store the rehabilitation information of paralytic;
Data processing module, to arrange the data with the transmission of statistical analysis system controller;
Memory module calculates the data after analysis to storing data processing module;
Cloud platform is accessed to store patient information library, rehabilitation information bank, the data in memory module for doctor and patient;
Display screen, the display screen are connect with cloud platform, to show the information in cloud platform.
3. a kind of cerebral apoplexy hand rehabilitation training system according to claim 1, which is characterized in that the system controller Include:
Liquid crystal display is used for human-computer interaction;
ARM control panel is used for data processing and transmission;
Traffic filter is filtered for signal;
Protective relaying device, is used for system protection, and the protective relaying device includes earth leakage protective device and current overload shield device;
The liquid crystal display, traffic filter and protective relaying device are electrically connected with ARM control panel.
4. a kind of method of cerebral apoplexy hand rehabilitation training according to any one of claims 1 to 3, feature exist In including the following steps:
S1, logging data: the information of patient information library storage patient's typing;
S2, sMEG acquisition: system controller carries out sMEG acquisition to patient, and the information of acquisition is depicted as signal curve;
S3, data upload: cloud platform reads the patient information in patient information library and the signature tune of system controller drafting Line;
S4, it establishes new database: after data processing module carries out calculating analysis to the signal curve for being uploaded to cloud platform, being formed new Data;
S5, data save: memory module saves new data;
S6, make diagnosis: doctor diagnoses the rehabilitation situation of patient by transferring the data in memory module, judges to suffer from Whether person's rehabilitation situation is qualified;
S7, reading data: cloud platform reads the diagnostic result that doctor makes;
S8, data transmission, display screen receive the diagnosis of cloud platform reading as a result, display screen shows diagnostic result.
5. a kind of cerebral apoplexy hand rehabilitation training system according to claim 4, which is characterized in that the driver packet It includes:
Pressure sensor, just to acquire finger pressure signal;
Flexible bending sensor, to acquire digital flexion signal;
Electromyography signal sensor, to acquire electromyography signal, i.e. sMEG acquisition, the pressure sensor, flexible bending sensor, Electromyography signal sensor is connect with system controller.
6. a kind of method of cerebral apoplexy hand rehabilitation training according to claim 5, which is characterized in that include in the S2 Following steps:
It determines initial rehabilitation modality: rehabilitation modality is selected by liquid crystal display;
Information collection: the information that ARM control panel receives pressure sensor, flexible bending sensor, electromyography signal sensor It is acquired;
Filtering: traffic filter is filtered the collected information of ARM control panel;
Modeling: according to the algorithm of inner setting signal curve is made in filtered information by ARM control panel.
7. a kind of method of cerebral apoplexy hand rehabilitation training according to claim 3, which is characterized in that ARM control panel packet Containing emergency stop function.
CN201910308672.1A 2019-04-17 2019-04-17 A kind of cerebral apoplexy hand rehabilitation training system and method Pending CN110060780A (en)

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