CN209203256U - View-based access control model-EMG biofeedback muscle damage rehabilitation training system - Google Patents
View-based access control model-EMG biofeedback muscle damage rehabilitation training system Download PDFInfo
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Abstract
The utility model is about view-based access control model-EMG biofeedback muscle damage rehabilitation training system, the system includes a surface myoelectric system, a data processing centre, a virtual reality scene interaction training system and a controllable type training platform, is used for body muscle impairment rehabilitation therapy.
Description
Technical Field
The utility model relates to a clinical muscle damage aassessment and training system, especially combine the muscle damage aassessment and the training system of vision-flesh electricity biofeedback technique.
Background
Muscle damage is a common clinical condition. For treating muscle injury, except for drug treatment, rehabilitation exercise aiming at the injured muscle is the first choice of noninvasive conservative therapy.
Currently, clinical muscle training modalities include: bare-handed training, elastic band resistance training, instrument training, and the like. However, the muscle training mode is simple and boring, and lacks interest, and the compliance of patients is poor. Moreover, repeated single movements tend to cause the patient's tired mood.
To increase interest, clinical medicine has recently attempted to introduce Virtual Reality (VR) games into patient rehabilitation function training.
The virtual reality technology is a technology that a computer is used for generating a virtual environment (such as walking, fetching objects and the like) simulating real objects, and a patient is 'thrown' into the environment through a specific interaction tool (such as stereo glasses, sensing gloves and the like), so that the patient can directly and naturally interact with the virtual environment.
In recent years, virtual reality technology has begun to be applied to limb function and speech rehabilitation training. The simulation environment is displayed by using a computer and professional software and hardware, so that virtual interaction and feedback in the aspects of vision, hearing, touch, motion and the like are realized, a patient can feel personally on the scene, and the patient can finish controllable functional movement and operation in the virtual environment, thereby achieving the purpose of function reconstruction. Virtual reality technology is able to continually inspire and maintain the interest of repeated exercises of patients with feedback in diverse forms by programming a virtual environment. The development of the virtual reality technology fundamentally changes the traditional exercise rehabilitation mode and really combines labor and ease.
However, the technical defects of the existing virtual reality machine are that the products are all primary virtual reality training programs, the number of the programs is limited, and the choice is small. The training mode is a prefabricated simple scene simulation, the actions are repeated and programmed, the human-computer interaction is lacked, and the interest of the patient can be lost in the long term.
Clinically the signs of muscle damage conditions may be the same but the damaged muscles may differ, or the degree of damage may differ although the damaged muscles are the same. For example, leg pain is caused by leg muscle strain, and leg pain caused by leg muscle strain and leg pain caused by waist muscle damage. For another example, although patients with lumbago have lumbago, the damaged part of the lumbar muscle may be different. The same training action may not necessarily be used for patients with the same characteristics. At present, muscle rehabilitation training is blind, and accuracy and individual pertinence are lacked. As long as the symptoms of the disease are the same or similar, the same training action is applied, and the proper training action is finally found by continuous trial and error correction.
Currently, the evaluation of the degree of muscle damage and the rehabilitation training effect is mostly carried out by using a traditional evaluation scale (questionnaire) system, namely, by observing the physical activity of walking. However, this manual measurement and evaluation method has a high requirement on the subjective judgment ability of the doctor on the one hand, and on the other hand, it cannot realize real-time and quantitative evaluation.
As rehabilitation treatment progresses, the physical condition of a patient changes continuously, the activity amount and the activity intensity are changed, and previous evaluation cannot adapt to the changed condition. Because the traditional evaluation method cannot record and store the process data of the patient in the training process in time or in real time, the dynamic change and the dynamic training effect of the traditional evaluation method on muscle rehabilitation training can only be estimated approximately. However, in clinical rehabilitation, real-time changes in patient training are scientifically evaluated in time, and training intensity and training items are changed in time, which is a need for improving the efficiency and level of rehabilitation training. In addition, the real-time physical condition assessment can also meet the requirement that the patient urgently wants to know the self muscle function level and the improvement condition after training.
In recent years, a surface electromyographic signal detection method is applied to medical diagnosis and physical training.
Surface electromyogram (sEMG) is guided from the skin Surface through electrodes, records bioelectric signals during the activity of a neuromuscular system, and can accurately reflect the muscle contraction condition. The surface electromyography technology is applied to sports training, and is used for analyzing the contraction and fatigue conditions of target muscles in sports and analyzing the contraction sequence and coordination of different target muscles. Particularly, in the gradual load training, the surface myoelectricity has the advantages of simple and convenient detection process, small interference to actions, continuous detection, intuition, reliability and the like, and can ensure the accuracy of muscle evaluation and the training safety in the gradual load training test process.
Electromyographic biofeedback therapies have recently been developed based on surface electromyographic signal detection methods. The therapy is a method for recording weak electric signals during muscle contraction by means of surface myoelectric receiving equipment, converting the weak electric signals into easily perceived visual or auditory signals, and enabling a patient to adjust the muscle contraction degree according to the visual/auditory signals and to train himself. The exercise rehabilitation training device can provide feedback of training results of each time and achievement feedback after each group of exercises for the patient to perform exercise rehabilitation training, and is beneficial to improving the awareness and training enthusiasm of the patient on muscle contraction conditions. At present, the technology is applied to the rehabilitation of the paralyzed limb movement function of brain injury or spinal cord injury. Although the myoelectric biofeedback therapy can inform the patient who receives rehabilitation training whether the training action is correct or not in time, the patient with muscle damage can hardly reach the training standard as required at one time. Rehabilitation training confidence and training motivation of trained patients may also be frustrated if the system feedback always gives a negative assessment of failure to meet standards. The current electromyographic biofeedback rehabilitation training therapy is carried out by a medical surface electromyographic signal detection method. Its design is disease and non-disease as the demarcation point, and is not completely suitable for the rehabilitation training medical treatment aiming at the disease to non-disease process, and it lacks the training selection of the transition period.
The above prior art techniques have their respective disadvantages, although they have their respective advantages. In terms of the whole technologies, the biggest defects of the technologies are that the technologies are independently used, a whole with a synergistic effect cannot be formed, and the advantages of all the families are gathered, and the disadvantages of all the families are eliminated.
Disclosure of Invention
The present invention has been made in view of the above prior art problems to alleviate or eliminate one or more problems of the prior art, and at least provides a useful choice.
In order to achieve the above object, the present invention provides a rehabilitation training system which integrates an electromyographic biofeedback medical system and a virtual reality game system and which is added with a data processing center and a controllable training activity platform.
The utility model provides a further rehabilitation training system which integrates a pain and/or pulse monitoring system into the rehabilitation training system.
The utility model provides a rehabilitation training system to muscle group overall therapy exercise.
The utility model provides a muscle rehabilitation training system capable of selecting according to individual symptoms.
The utility model provides a muscle rehabilitation training system with real-time man-machine interaction.
The utility model provides a muscle rehabilitation training system which can timely recommend new training games or adjust the intensity of the training games according to the real-time recording and the evaluation of muscle conditions and/or training conditions.
The utility model provides a controllable formula training platform.
Drawings
The present invention may be better understood with reference to the following drawings. The drawings are for illustrative purposes only and are not drawn to scale nor to limit the scope of the present disclosure.
Fig. 1 is a schematic diagram of the system architecture of the muscle damage assessment and rehabilitation training system based on visual-myoelectric biofeedback of the present invention.
Fig. 2 is a schematic view of the work flow of the muscle damage assessment and rehabilitation training system based on visual-myoelectric biofeedback of the present invention.
Fig. 3 is a schematic view of the working principle of the muscle damage assessment and rehabilitation training system based on visual-myoelectric biofeedback of the present invention.
Fig. 4 is the schematic view of the working principle process of the system for muscle damage assessment and rehabilitation training based on visual-myoelectric biofeedback of the utility model from signal acquisition to the cyclic and reciprocating real-time change of the training and treatment process.
Detailed Description
The utility model discloses utilize virtual reality technique, surface flesh electricity feedback technique, database processing center, controllable formula training platform and/or painful and/or pulse monitoring system to set up a rehabilitation training system who has more individual pertinence, more interesting, training effect is better. The virtual reality technology enables the rehabilitation training system to realize the interaction between training actions and a virtual environment. The virtual environment can make people generate a feeling of being personally on the scene, thereby realizing multi-sense stimulation. The surface electromyographic feedback can help to establish a system for evaluating symptoms, illness states and exercise effects, data recorded in real time can be visually fed back to a patient on site, the training posture and/or strength of the patient can be adjusted conveniently in real time, kinematics tracking and evaluation can be carried out in real time, and the purpose of accurate rehabilitation aiming at personal traits or specific muscles or muscle groups is achieved. The controllable training platform performs balancing, tilting and twisting actions under the instruction of the data processing center, so that the patient is forced to perform semi-active and semi-passive guiding activities according to the virtual game.
The surface electromyography feedback technology enables the rehabilitation training system to obtain timely feedback of the disease condition (muscle damage degree) and the training effect of the patient. The data processing center compares the information initially transmitted by the surface myoelectric system with a threshold value of a disease database prestored in the data processing center to determine the disease of a patient, so as to recommend a virtual reality game suitable for the disease, and compares the information with a threshold value of a disease condition database prestored in the data processing center to evaluate and determine the muscle damage grade, and the muscle damage grade is used as a difficulty starting baseline of rehabilitation training. During the rehabilitation training process, the data processing center compares the signals transmitted by the pain and/or pulse monitoring system in real time with the prestored pain and pulse threshold values periodically, and adjusts the rehabilitation training intensity and/or changes the virtual reality game. The data processing center transmits the disease condition and/or disease condition grade evaluation result to the virtual reality scene interactive training system, and transmits the disease condition and/or pain/pulse evaluation result to a controllable training platform; the virtual reality scene interactive training system selects a virtual reality game with proper recommended symptoms and proper training intensity according to the evaluation result of the data processing center. If there are multiple virtual reality programs to choose from, the trainee can choose according to his own interests. The controllable training platform correspondingly adjusts the inclination angle, the torsion amplitude and the like of the platform according to the muscle damage grade and/or the pain/pulse evaluation result of the data processing center so as to increase or weaken the strength of rehabilitation training. The pain and/or pulse monitoring system collects a trainee's on-training muscle pain index and/or pulse beat index. Muscle pain is often manifested as increased sweating and accelerated heartbeat, so collecting sweat exudation and/or pulse beat at a specific location of the trainee can determine the muscle pain status of the trainee while exercising. The pain and/or pulse monitoring system transmits muscle pain signals and/or pulse beat signals of a patient to the data processing center, the data processing center compares the signals with pre-stored muscle pain and/or pulse beat threshold values to evaluate whether the current rehabilitation training intensity is suitable, and if the intensity is too strong or too weak, the data processing center instructs the controllable motion platform to adjust the posture of the controllable motion platform. In addition, pulse monitoring is also a necessary measure to prevent motion accidents.
The utility model discloses a muscle damage rehabilitation training system based on vision-flesh electricity biofeedback includes: a surface electromyography system, a data processing center, a virtual reality context interaction training system, a controllable training platform and/or a pain and/or pulse monitoring system. The surface electromyography system is provided with a plurality of electrode patches and a surface electromyography system local machine, wherein the electrode patches are attached to a single part of a trainee related to a single damaged muscle or a plurality of parts of the trainee related to a plurality of damaged muscles and used for collecting surface electromyography signals of the damaged muscles or muscle groups of the trainee, the electrode patches are in wired connection or wireless connection with the surface electromyography system local machine, and the electrode patches transmit the surface electromyography signals of the trainee to the surface electromyography system local machine;
the surface electromyography system local is used for preprocessing the surface electromyography signals transmitted from the electrode patches, is in wired or wireless connection with the data processing center and transmits the preprocessed surface electromyography signals to the data processing center;
the data processing center is provided with a muscle disorder threshold database, a muscle disorder condition threshold database and a training effect threshold database and is used for carrying out comparison analysis and disorder, condition and training effect evaluation on the preprocessed surface electromyographic signals transmitted by the surface electromyographic system local machine; the data processing center is in wired connection or wireless connection with the virtual reality scene interactive training system, and outputs the analysis and evaluation results of the surface electromyographic signals to the virtual reality scene interactive training system;
the virtual reality scene interactive training system is provided with a virtual reality scene interactive training system local machine and a virtual reality display window, the virtual reality display window is in wired connection or wireless connection with the virtual reality scene interactive training system local machine, and the virtual reality scene interactive training system local machine selects a virtual reality game according to the analysis and evaluation results transmitted by the data processing center and displays the virtual reality game on the virtual reality display window;
the controllable training platform is in wired connection or wireless connection with the data processing center, receives analysis and evaluation result signals of the surface electromyographic signals transmitted by the data processing center, and adjusts the static posture and/or the dynamic activity posture of the controllable training platform according to the analysis and evaluation result signals of the data processing center;
the pain and/or pulse monitoring system is in wired connection or wireless connection with the data processing center, the data processing center presets a pain and/or pulse threshold database, the pain and/or pulse index of a patient detected by the pain and/or pulse monitoring system is transmitted to the data processing center, the data processing center compares the pain and/or pulse index of the patient with the pain and/or pulse threshold preset by the data processing center, and transmits an analysis result to the controllable training platform and the virtual reality scene interactive training system, and the controllable training platform and the virtual reality scene interactive training system adjust training intensity or suspend training according to the analysis result of the data processing center.
According to the utility model discloses an embodiment, data processing center still through analysis software with myoelectricity biofeedback with the rehabilitation training effect threshold value that data processing center predetermines is correlated, establishes the mapping relation based on myoelectricity biofeedback and training effect, and in the rehabilitation training process, data processing center carries out the analysis to the feedback signal of the surface myoelectricity of real-time acquisition monitoring, will the feedback signal of surface myoelectricity contrasts with data processing center's the training effect threshold value of predetermineeing, divides the grade of training effect, data processing center gives training effect grade information transmission virtual reality sight interactive training system, virtual reality sight interactive training system shows training effect information in the virtual reality window, and the trainee can see the grade of oneself training in real time. The grade is good, the training interest and the confidence of the rehabilitation trainers can be improved, the grade is not ideal enough, and the rehabilitation trainers can be urged to tighten the exercises and make the training action reach the standard more hard. Meanwhile, the data processing center transmits training effect grade information to the controllable motion platform, the grade is good, the controllable training platform can adjust the posture and the action of the controllable training platform, the training difficulty is improved, the grade cannot meet the lowest requirement of the training difficulty of the grade, and the controllable training platform can adjust the posture and the action of the controllable training platform, so that the training difficulty is reduced. If the lowest difficulty action grade of a certain virtual reality game program is not reached, the virtual reality scene interactive training system can adjust the virtual reality game program. If the pain and pulse indices contradict the training effect index, the pain and pulse indices take precedence. For safety reasons, training should be suspended in time when the pulse beats too quickly above the high limit of the pulse threshold and/or the pain is too much above the high limit of the pain threshold.
As shown in fig. 1, the utility model discloses muscle aassessment and rehabilitation training system based on vision-flesh electricity biofeedback includes: the system comprises a surface electromyography system, a data processing center, a virtual reality scene interaction system and a controllable training platform, wherein the surface electromyography system is provided with an electrode patch attached to the body of a rehabilitation trainer and a surface electromyography system local machine, and the electrode patch is in wired connection or wireless connection with the surface electromyography system local machine; the surface electromyography system local machine is in wired connection or wireless connection with the data processing center; the data processing center is in wired connection or wireless connection with the virtual reality scene interactive training system; the virtual reality scene interactive training system comprises virtual reality glasses and a virtual reality scene interactive training system local machine; the virtual reality glasses are in wired connection or wireless connection with the virtual reality scene interactive training system; the data processing center is in wired connection or wireless connection with the controllable training platform; the virtual reality glasses are directly worn on the eyes of the rehabilitation trainers. The electrode patch is adhered to a relevant part connected to the body surface of a rehabilitation trainer, transmits a surface electromyographic signal to the surface electromyographic system local machine, collects and preprocesses the surface electromyographic signal input by the electrode patch, and transmits the preprocessed surface electromyographic signal to the data processing center; the data processing center receives and analyzes the surface electromyographic activity signal, compares the surface electromyographic activity signal with a set threshold value, determines the state of an illness and the grade of the state of the illness, establishes a baseline of rehabilitation training according to the state of the illness and the grade of the illness, and outputs the baseline information of the rehabilitation training to the virtual reality scene interactive training system; the virtual reality scene interactive training system converts the rehabilitation training baseline information transmitted by the data processing center into a corresponding virtual reality game and displays the virtual reality game in a visual window of the virtual reality glasses; meanwhile, the data processing center transmits rehabilitation training baseline information to the controllable training platform, and the controllable training platform determines the inclination angle, the torsion amplitude and the like of the controllable training platform according to the rehabilitation training baseline information.
As shown in fig. 2, the muscle injury rehabilitation training system based on visual-myoelectric biofeedback of the present invention starts from the system startup initialization. The patient lies on the controllable training platform, the electrode patch is attached, the patient does some basic actions according to medical advice, the electrode patch collects surface electromyographic signals and transmits the surface electromyographic signals to a surface electromyographic system, the surface electromyographic system carries out preprocessing such as noise reduction and amplification on the surface electromyographic signals, and then the surface electromyographic system transmits the preprocessed surface electromyographic signals to the data processing center; the data processing center compares the surface electromyographic signals with a storage threshold value, determines the state of an illness and the degree of the illness, establishes a rehabilitation training baseline, transmits rehabilitation training baseline information to the virtual reality scene interactive training system, the virtual reality scene interactive training system selects and recommends a proper virtual reality game according to the rehabilitation training baseline information, and meanwhile, the data processing center transmits the rehabilitation training baseline information to a controllable training platform. And the controllable training platform determines the posture of the platform according to the result of the data processing center so as to match with the strength of rehabilitation training. In the rehabilitation training process, the surface electromyography system can collect surface electromyography activity signals in real time and output the surface electromyography activity signals to the data processing center. The data processing center analyzes the surface electromyographic activity signals in stages, associates the electromyographic biofeedback with a rehabilitation training effect in advance through analysis software, establishes a mapping relation based on the electromyographic biofeedback and the training effect, compares the surface electromyographic activity signals with a training effect threshold value preset by the data processing center, determines a rehabilitation training baseline again according to the comparison result, transmits the determined rehabilitation training baseline to the virtual reality scene interactive training system and the controllable training platform, and adjusts and optimizes a training scheme and a training difficulty in time.
As shown in fig. 3 and fig. 4, the rehabilitation training method of the muscle damage assessment and training system based on visual-myoelectric biofeedback of the present invention comprises: in the first step, a pre-diagnosis is performed, and the trained patient is clinically pre-diagnosed by a doctor and/or physical therapist to determine what kind of muscle damage is. And secondly, if the patient is diagnosed as one of the indications by the artificial initial diagnosis, the medical staff pastes the electrode patch on the corresponding muscle of the patient according to the initial diagnosis symptoms, wears the virtual reality glasses, and finishes a group of basic actions on the controllable training platform according to the screen prompt of the patient to stimulate the muscle activity. The controllable training platform training of different patients at first time or the controllable training platform training of the same patient at different time are processed according to the method. Thirdly, the surface electromyography system collects feedback signals of the electrode patches in a wireless signal mode or a wired mode such as wifi and Bluetooth, the electric signals are converted into analog signals through preprocessing such as filtering and electric signal amplification, namely waveforms displayed in the surface electromyography system are determined according to the waveforms, and whether manual initial diagnosis is correct or not and the disease is confirmed; after the disease condition is confirmed, the disease condition is evaluated according to the initial surface electromyographic signals, the data processing center receives signals collected and preprocessed by the surface electromyographic system in a wireless signal mode such as wifi and bluetooth or a wired mode, muscle surface electromyographic activity signals monitored in basic actions of the patient are obtained through analysis, muscle damage grades are judged by comparing the muscle surface electromyographic activity signals with muscle damage grade threshold values established according to big data and statistics, and muscle damage grade judgment results are output to a controllable training platform and a virtual reality scene interactive training system; thirdly, recommending a virtual game, recommending a most suitable and targeted virtual game training scheme by a virtual reality scene interaction system according to a signal output by a data processing center, adjusting the controllable training platform to a corresponding angle according to the signal output by the data center, wherein the same type of virtual game has a plurality of virtual reality programs with different training difficulties, and the virtual reality programs with different training difficulties correspond to different angles of the controllable training platform; fourthly, real-time evaluation, as shown in fig. 4, in the process of training a patient in a controllable training platform, a surface electromyography system collects electromyography signals collected by an electrode patch in stages, preprocesses the signals and outputs the signals to a data center, the data center analyzes the signals output by the surface electromyography system to obtain muscle surface electromyography activity signals monitored by the patient in the process of finishing a virtual game, and the muscle activity state and the training intensity adaptability are evaluated in real time; and fifthly, performing accurate control, namely, correspondingly increasing the training intensity, for example, increasing the angle of the controllable training platform (such as adjusting from 15 degrees to 20 degrees) or changing games with higher training difficulty, otherwise, having poor training effect and enabling the acquired data to be poorer than the measurement and initial evaluation values of the baseline, namely correspondingly reducing the angle of the controllable training platform (such as adjusting from 15 degrees to 10 degrees) or changing games with relatively lower training difficulty, and improving the pertinence of training, so as to evaluate and accurately control the real-time in the rehabilitation training process of the patient.
In an embodiment of the utility model, the control system of controllable formula training platform supports platform multiple degree of freedom control, accurate motion range, the tensile friction damping of suitable human muscle, adjustable attitude control, effectual safety guarantee etc. require.
Additionally, be in the utility model discloses an embodiment, set up a plurality of inertia Measurement Unit (Initial Measurement Unit) on the controllable formula training platform, fully monitor the range that every training action of rehabilitation training person was accomplished to with monitoring data upload data processing center, data processing center will monitoring data compares with the data of biological flesh electricity feedback, and mutual evidentiary evidence realizes two-dimensional data analysis, further confirms the accuracy of data.
According to a preferred embodiment of the present invention, the controllable training platform has safety protection devices, such as safety belts, handrails, etc., to ensure the safety of the rehabilitation trainers.
According to a preferred embodiment of the present invention, the patient can adopt the postures of lying, kneeling, standing, squatting, supporting, etc. on the controllable training platform according to the needs of the virtual game.
According to a preferred embodiment of the present invention, the surface electromyography system of the present invention may be a 16-channel surface electromyography signal acquisition system, such as the Noraxon Telemyo system made in the united states.
According to a preferred embodiment of the present invention, the data processing center of the present invention may be a PC. The PC can be a physically independent PC, and can also be physically integrated into a surface electromyography system or a virtual reality scene interaction system.
According to a preferred embodiment of the present invention, the data processing center of the present invention can be linked with the network big data through the specific APP to obtain more data, and expand the adaptive range of the system of the present invention.
According to the utility model discloses an embodiment, the utility model discloses a impaired aassessment of muscle and training system's rehabilitation training method based on vision-flesh electricity biofeedback includes that pre-diagnosis, disease kind and state of an illness grade are confirmed, are recommended virtual reality recreation, stage secondary aassessment and five essential steps of accurate control.
Compared with the prior art, the utility model the advantage has:
(1) the project organically combines a virtual reality technology and a myoelectric biofeedback system into rehabilitation assessment and training of muscle damage, scientifically and accurately assesses the state of an illness and the degree of the illness, and realizes an individualized training scheme, thereby realizing the aim of accurate rehabilitation training aiming at personal traits or specific muscle groups;
⑵, based on the virtual reality software platform, collecting surface electromyographic signals, performing real-time data analysis and on-site feedback, adjusting the training difficulty of the training task in time, enhancing the training effect, establishing a bidirectional feedback model, and further improving the training efficiency:
(3) the human-computer interaction muscle group integral training can be realized;
(4) the interest of rehabilitation training and the rehabilitation training efficiency are remarkably improved through the abundant training environment and the on-site feedback information;
(5) the patient-controllable operating system may motivate the patient to participate in the training aggressiveness;
(6) personnel cost of medical institutions is reduced;
(7) aiming at the problems that the traditional training is simple and boring, the patient is easy to fatigue and the like, the boring training is changed into entertainment and rehabilitation through the training task grade setting, so that the patient can exercise in the entertainment, and the training effect of the patient is improved; and can reduce the psychological pressure of patients and dredge negative emotions in the game.
It should be noted that the above description is only illustrative and not limiting to the scope of the present invention. All technical solutions falling within the scope of the claims and their equivalents are within the scope of the present invention, for example, although the method and system described in the present invention are suitable for rehabilitation training of patients, they can also be used for physical training or body-building exercises with slight or no modification.
Claims (11)
1. A visual-myoelectric biofeedback-based muscle injury rehabilitation training system, the system having:
a surface electromyographic system, wherein the myoelectric system,
a data processing center, a data processing system and a data processing system,
a virtual reality scenario interactive training system, and
a controllable training platform;
wherein,
the surface electromyography system is provided with a plurality of electrode patches and a surface electromyography system local machine, the electrode patches are attached to relevant parts of the body of a trained patient, the electrode patches are in wired connection or wireless connection with the surface electromyography system local machine, and the electrode patches transmit surface electromyography signals of the trained patient to the surface electromyography system local machine;
the surface electromyography system local machine collects and preprocesses the surface electromyography signals transmitted from the electrode patches, is in wired connection or wireless connection with the data processing center, and transmits the preprocessed surface electromyography signals to the data processing center;
the data processing center analyzes and evaluates the preprocessed surface electromyographic signals transmitted by the surface electromyographic system local machine; the data processing center is in wired connection or wireless connection with the virtual reality scene interactive training system, and outputs the analysis and evaluation results of the surface electromyographic signals to the virtual reality scene interactive training system;
the virtual reality scene interactive training system is provided with a virtual reality scene interactive training system local machine and a virtual reality display window, wherein the virtual reality display window is in wired connection or wireless connection with the virtual reality scene interactive training system local machine, and the virtual reality scene interactive training system local machine selects a virtual reality game according to a result transmitted by the data processing center and displays the virtual reality game on the virtual reality display window;
the data processing center is in wired connection or wireless connection with the controllable training platform, the analysis and evaluation results of the surface electromyographic signals are transmitted to the controllable training platform, and the controllable training platform adjusts the static posture and/or the dynamic activity amplitude of the controllable training platform according to the analysis and evaluation results of the surface electromyographic signals transmitted by the data processing center.
2. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as described in claim 1, wherein the visual-electromyographic biofeedback-based muscle injury rehabilitation training system further comprises:
a pain and/or pulse monitoring system;
the pain and/or pulse monitoring system is worn on a trainee and acquires pain signals and/or pulse signals of the trainee, the pain and/or pulse monitoring system is in wired connection or wireless connection with the data processing center and transmits the pain signals and/or pulse signals to the data processing center, the data processing center analyzes whether the training intensity is proper or not according to the pain signals and/or pulse signals acquired by the pain and/or pulse monitoring system, the data processing center transmits the analysis results of the pain signals and/or pulse signals to the virtual reality scene interactive training system and the controllable training platform, and the virtual reality scene interactive training system and the controllable training platform analyze the analysis results and/or pulse signals according to the pain signals and/or pulse signals transmitted by the data processing center, and adjusting the static posture and/or the dynamic activity amplitude of the controllable training platform, and/or adjusting the difficulty of the virtual reality program.
3. A muscle injury rehabilitation training system based on visual-electromyographic biofeedback as described in any one of claims 1 and 2, wherein the virtual reality scenario-interactive training system further comprises an intelligent wearable device, the intelligent wearable device is connected with the virtual reality scenario-interactive training system local machine through a wire or a wireless connection, and the virtual reality scenario-interactive training system local machine transmits a corresponding tactile signal to the intelligent wearable device according to the content of a virtual reality program.
4. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as recited in claim 1, wherein said data processing center evaluates the surface electromyographic signals collected in real time during training against a predetermined training effectiveness threshold in stages, and transmits the evaluated results to said controllable training platform and/or said virtual reality scene interaction training system to adjust the static posture and dynamic motion of said controllable training platform and/or change a virtual reality game program.
5. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as recited in claim 1, wherein the evaluation of the surface electromyographic signals by the data processing center is a qualitative evaluation of a condition and a quantitative evaluation of a condition.
6. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as recited in claim 2, wherein the phased assessment of the surface electromyographic signals by the data processing center is a quantitative assessment of condition and an assessment of training effectiveness.
7. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as described in any one of claims 1, 2, 4, 5, and 6, wherein said data processing center is integrated with said virtual reality situational interactive training system.
8. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as described in any one of claims 1, 2, 4, 5, and 6, wherein said virtual reality scenario interaction training system is integrated with said virtual reality display window.
9. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as described in any one of claims 1, 2, 4, 5 and 6 wherein said data processing center is locally integrated with said surface electromyographic system.
10. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as described in claim 1, wherein the controllable training platform further comprises: and the inertia measurement units are in wired connection or wireless connection with the data processing center and upload the monitoring data to the data processing center.
11. A visual-electromyographic biofeedback-based muscle injury rehabilitation training system as described in claim 1, wherein the controllable training platform further comprises: a safety protection device.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111821570A (en) * | 2020-09-01 | 2020-10-27 | 新乡医学院第一附属医院 | A biofeedback-based hand function reconstruction system |
| WO2021099862A1 (en) * | 2019-11-19 | 2021-05-27 | Within Unlimited, Inc. | Activity tracking and feedback in real-time shared virtual reality environment |
| CN113391701A (en) * | 2021-06-15 | 2021-09-14 | 国家康复辅具研究中心 | Rehabilitation training method and system fusing virtual reality game and intention recognition |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021099862A1 (en) * | 2019-11-19 | 2021-05-27 | Within Unlimited, Inc. | Activity tracking and feedback in real-time shared virtual reality environment |
| CN111821570A (en) * | 2020-09-01 | 2020-10-27 | 新乡医学院第一附属医院 | A biofeedback-based hand function reconstruction system |
| CN113391701A (en) * | 2021-06-15 | 2021-09-14 | 国家康复辅具研究中心 | Rehabilitation training method and system fusing virtual reality game and intention recognition |
| CN113391701B (en) * | 2021-06-15 | 2021-12-07 | 国家康复辅具研究中心 | Rehabilitation training method and system fusing virtual reality game and intention recognition |
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