CN110720908B - Muscle injury rehabilitation training system based on vision-myoelectricity biofeedback and rehabilitation training method using system - Google Patents
Muscle injury rehabilitation training system based on vision-myoelectricity biofeedback and rehabilitation training method using system Download PDFInfo
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Abstract
The invention relates to a muscle injury rehabilitation training system based on myoelectricity biofeedback, which comprises the following components: the system comprises a surface myoelectricity system, a data processing center, a virtual reality scene interaction training system and a controllable training platform, and is used for rehabilitation treatment of body muscle injury.
Description
Technical Field
The invention relates to a clinical muscle injury assessment and training system, in particular to a muscle injury assessment and training system combined with a vision-myoelectricity biofeedback technology.
Background
Muscle damage is a common clinical condition. The rehabilitation exercise aiming at the damaged muscle is the first non-invasive conservation therapy except for the drug therapy for treating the muscle injury.
Currently, clinical muscle training modalities include: bare-handed training, elastic band resistance training, instrument training, and the like. However, because the muscle training mode is simple and boring, the interest is lacking, and the compliance of patients is poor. Furthermore, repeated repetition of a single action tends to cause a burnout feeling in the patient.
In order to increase interest, clinical medicine has begun to attempt to introduce Virtual Reality (VR) games into patient rehabilitation training in recent years.
The virtual reality technology is a technology that a virtual environment (such as walking, fetching, etc.) simulating a real thing is generated by using a computer, and a patient is 'put' into the environment through a specific interactive tool (such as a pair of stereoscopic glasses, a pair of sensing gloves, etc.), so that the patient and the virtual environment can directly perform natural interaction.
In recent years, virtual reality technology is beginning to be applied to limb functions and speech rehabilitation training. The simulation environment is developed by using a computer and specialized software and hardware, virtual interaction and feedback in the aspects of visual, hearing, touch, movement and the like are realized, so that a patient can generate an immersive sensation, and controllable functional movement and operation can be completed in the virtual environment by the patient, and the purpose of functional reconstruction is achieved. Virtual reality technology is capable of constantly exciting and maintaining the interest of a patient in repeated exercises by compiling a virtual environment with a variety of feedback in form. The development of virtual reality technology radically changes the traditional exercise rehabilitation mode and truly combines 'fatigue' and 'escape'.
However, the prior virtual reality machine technology is insufficient, the products are 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 action is repeated and programmed, man-machine interaction is absent, and the patient loses interest over time.
Clinically, the appearance of a muscle damage condition may be the same but the damaged muscle may be different, or the extent of damage may be different although the damaged muscle is the same. For example, some patients with leg pain are leg muscle injuries, some patients may be waist muscle injuries, leg pain caused by leg involvement. For another example, although a patient with lumbago is suffering from lumbago, the location of the injury to the lumbar muscle may vary. The same training action is not necessarily effective for the same characterized patient. At present, the muscle rehabilitation training is blind and lacks accuracy and individual pertinence. As long as the symptoms are the same or approximate, the same training actions are applied, and the continuous trial and error correction is used, so that the proper training actions are finally found.
Currently, the evaluation of the muscle injury degree and the rehabilitation training effect is mostly performed by adopting a traditional evaluation (questionnaire) system, namely, by observing the physical activity condition of a patient. However, this manual measurement and evaluation method has high requirements for subjective judgment capability of doctors on one hand, and on the other hand, it cannot realize real-time and quantitative evaluation.
As rehabilitation therapy progresses, the patient's physical condition changes continuously, both the amount of activity and the intensity of activity change, and previous evaluations have failed to adapt to the changing situation. Because the traditional evaluation method cannot record and save 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 the muscle rehabilitation training can be generally estimated only approximately. However, in clinical rehabilitation therapy, real-time changes in patient training are evaluated timely and scientifically, and training intensity and training items are changed timely, so that the requirement for improving rehabilitation training efficiency and level is met. In addition, the real-time physical condition evaluation can also meet the urgent need of patients to know the muscle function level of the patients and the improvement condition after training.
In recent years, a surface electromyographic signal detection method is applied to medical diagnosis and physical training.
Surface myoelectricity (Surface electromyogram, sEMG) is bioelectric signals from the skin surface, guided by electrodes, recorded during neuromuscular system activity, and accurately reflects muscle contraction. Surface myoelectric techniques have been applied in athletic training to analyze target muscle contraction and fatigue during exercise, and to analyze the sequence and coordination of different target muscle contractions. Particularly in the training of increasing load, the surface myoelectricity has the advantages of simple and convenient detection process, small interference to actions, continuous detection, intuitiveness, reliability and the like, and can ensure the accuracy of muscle evaluation and the safety of training in the test process of the training of increasing load.
Based on the surface electromyographic signal detection method, myoelectric biofeedback therapy has recently been developed. The therapy is a method for recording weak electric signals when muscles shrink by means of a surface myoelectric receiving device, converting the weak electric signals into visual or acoustic signals which are easy to perceive, and enabling a patient to adjust the muscle contraction degree and self-train according to the visual/acoustic signal. The training device can provide feedback of each training result and performance feedback after each group of exercises for the patient to perform exercise rehabilitation training, and is beneficial to improving awareness of the patient on muscle contraction conditions and training enthusiasm. Currently, this technique has been applied to rehabilitation of motor functions of paralyzed limbs in brain injury or spinal cord injury. Although myoelectric biofeedback therapy can timely inform a patient receiving rehabilitation training whether the training action is correct or whether the training action is standard, a patient with damaged muscles can hardly meet the training standard at a glance. Rehabilitation training confidence and training enthusiasm for trained patients can also be contusion if the system feedback always gives a negative assessment of not reaching the standard. The current myoelectricity biofeedback rehabilitation training therapy is carried by a medical surface myoelectricity signal detection method. The design of the device takes the disease and the non-disease as the demarcation point, is not fully suitable for rehabilitation training medical treatment focusing on the disease-to-non-disease process, and lacks training selection of transition period.
The above-mentioned prior arts have various drawbacks, although they have various advantages. The greatest disadvantage of the technologies is that the technologies are used independently and cannot form a whole with synergistic effect, so that the technologies are integrated and eliminated.
Disclosure of Invention
The present invention has been made in view of the above problems of the prior art, and is intended to mitigate or eliminate one or more of the problems of the prior art, at least to provide a beneficial choice.
In order to achieve the above purpose, the invention provides a rehabilitation training system which integrates an myoelectricity biofeedback medical system and a virtual reality game system and is added with a data processing center and a controllable training movable platform.
The present invention provides a rehabilitation training system that further integrates a pain and/or pulse monitoring system into the rehabilitation training system of the present invention.
The invention provides a rehabilitation training system for muscle group overall treatment exercise.
The invention provides a muscle rehabilitation training system which can be selected individually according to individual symptoms.
The invention provides a muscle rehabilitation training system with real-time man-machine interaction.
The invention provides a muscle rehabilitation training system which timely recommends a new training game or adjusts the strength of the training game according to real-time recording and evaluating of muscle conditions and/or training conditions.
The invention provides a rehabilitation training method of a muscle injury rehabilitation training system based on vision-myoelectricity biofeedback.
The invention provides a controllable training platform.
Drawings
The invention may be better understood with reference to the accompanying drawings. The drawings are for illustrative purposes only and are not drawn to scale nor limit the scope of the invention.
FIG. 1 is a schematic diagram of the system architecture of the vision-myoelectricity biofeedback-based muscle damage assessment and rehabilitation training system of the present invention.
Fig. 2 is a schematic workflow diagram of the vision-myoelectric biofeedback-based muscle damage assessment and rehabilitation training system of the present invention.
Fig. 3 is a schematic flow chart of the working principle of the visual-myoelectric biofeedback-based muscle damage assessment and rehabilitation training system.
Fig. 4 is a schematic flow chart of the working principle of the visual-myoelectric biofeedback-based muscle damage assessment and rehabilitation training system according to the invention, which changes in real time from signal acquisition to training treatment flow cycle and back.
Detailed Description
The invention utilizes the virtual reality technology, the surface myoelectricity feedback technology, the database processing center, the controllable training platform and/or the pain and/or pulse monitoring system to build a rehabilitation training system which has better individual pertinence, interestingness and training effect. The virtual reality technology enables the rehabilitation training system to realize interaction between training actions and virtual environments. The virtual environment can make a person feel as if they were in the scene, thereby achieving multi-sensory stimulation. The surface myoelectric feedback can help to establish a disease, illness and exercise effect evaluation system, the real-time recorded data are visually fed back to the patient on site, the patient can conveniently adjust the training posture and/or intensity of the patient in real time, and the real-time kinematic tracking and evaluation can be performed, so that the purpose of accurate rehabilitation aiming at personal characteristics or specific muscles or muscle groups is achieved. Under the instruction of the data processing center, the controllable training platform performs balancing, tilting and twisting actions, so that the patient is forced to conduct the activities according to the virtual game semi-actively and semi-passively.
The surface myoelectricity feedback technology enables the rehabilitation training system of the invention to obtain timely feedback of disease symptoms, illness states (muscle damage degree) and training effects of patients. The data processing center compares the information initially transmitted by the surface myoelectric system with a disease database threshold value pre-stored in the data processing center to determine the disease of the patient, so as to recommend a virtual reality game suitable for the disease, and compares the information with the disease database threshold value pre-stored in the data processing center to evaluate and determine the muscle damage grade, and the muscle damage grade is taken as a difficulty starting baseline of rehabilitation training. In 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 pre-stored pain and pulse threshold values in a staged manner, and adjusts the rehabilitation training intensity and/or replaces the virtual reality game in time. The data processing center transmits the disease and/or disease grade evaluation result to the virtual reality scenario interactive training system, and transmits the disease and/or pain/pulse evaluation result to a controllable training platform; the virtual reality scenario 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 multiple virtual reality programs are available for selection, the trainee can select 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 muscle pain index and/or pulse beat index of the trainee during training. Muscle pain is often manifested as increased perspiration and increased heart beat rate, so collecting perspiration and/or pulse beat from a particular area of the trainee can determine the condition of muscle pain when the trainee exercises. The pain and/or pulse monitoring system transmits muscle pain signals and/or pulse beating signals of a patient to the data processing center, the data processing center compares the signals with pre-stored muscle pain and/or pulse beating thresholds of the signals, whether the current rehabilitation training strength is suitable or not is evaluated, and if the strength is too strong or too weak, the data processing center instructs the controllable motion platform to adjust the gesture of the controllable motion platform. In addition, pulse monitoring is also a necessary measure to prevent sports accidents.
The muscle injury rehabilitation training system based on vision-myoelectricity biofeedback comprises: a surface myoelectric system, a data processing center, a virtual reality scenario interactive training system, a controllable training platform and/or a pain and/or pulse monitoring system. The surface myoelectric system is provided with a plurality of electrode patches and a surface myoelectric system local machine, wherein the electrode patches are attached to a single part of a trained patient related to single damaged muscles or a plurality of parts related to a plurality of damaged muscles, and collect surface myoelectric signals of damaged muscles or muscle groups of the trained patient, the electrode patches are connected with the surface myoelectric system local machine in a wired or wireless way, and the electrode patches transmit the surface myoelectric signals of the trained patient to the surface myoelectric system local machine;
the surface myoelectric system local machine is used for preprocessing the surface myoelectric signals transmitted from the electrode patches, and is connected with the data processing center in a wired or wireless mode and used for transmitting the preprocessed surface myoelectric signals to the data processing center;
the data processing center is provided with a muscle condition threshold database, a training effect threshold database and a data processing center, wherein the data processing center is used for comparing and analyzing the preprocessed surface electromyographic signals transmitted by the surface electromyographic system and evaluating conditions, conditions and training effects; the data processing center is connected with the virtual reality scenario interaction training system in a wired or wireless mode, and the data processing center outputs analysis and evaluation results of the surface electromyographic signals to the virtual reality scenario interaction training system.
The virtual reality scene interactive training system is provided with a virtual reality scene interactive training system local 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, and the virtual reality scene interactive training system local selects a virtual reality game according to analysis and evaluation results transmitted by the data processing center and is displayed in the virtual reality display window.
The controllable training platform is connected with the data processing center in a wired or wireless mode, 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 connected with the data processing center in a wired or wireless mode, the data processing center presets a pain and/or pulse threshold database, the pain and/or pulse index of the 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, an analysis result is transmitted to the controllable training platform and the virtual reality scene interaction training system, and the controllable training platform and the virtual reality scene interaction training system adjust training intensity or pause training according to the analysis result of the data processing center.
According to one embodiment of the invention, the data processing center further associates myoelectricity biofeedback with a rehabilitation training effect threshold preset by the data processing center through analysis software, establishes a mapping relation based on myoelectricity biofeedback and training effect, and in the rehabilitation training process, the data processing center analyzes the feedback signals of the surface myoelectricity which are collected and monitored in real time, compares the feedback signals of the surface myoelectricity with the preset training effect threshold of the data processing center, and separates out the grade of the training effect, the data processing center transmits training effect grade information to the virtual reality scenario interaction training system, the virtual reality scenario interaction training system displays the training effect information in a virtual reality window, and a trainee can see the grade of training of himself in real time. The training interest and the confidence of the rehabilitation trainer can be improved due to good grade, the grade is not ideal enough, and the rehabilitation trainer can be urged to tighten the exercise and make the training action reach the standard more in an effort. 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 gesture and the action of the controllable motion platform, the training difficulty is improved, the grade cannot meet the minimum requirement of the current grade of training difficulty, and the controllable training platform can adjust the gesture and the action of the controllable motion platform, so that the training difficulty is reduced. If the lowest difficulty action level of a certain virtual reality game program is not reached, the virtual reality scenario interactive training system can adjust the virtual reality game program. Pain and pulse index are prioritized if they contradict the training effect index. For safety reasons, training should be suspended in time when the pulse is too fast above the upper limit of the pulse threshold and/or the pain is too high above the upper limit of the pain threshold.
As shown in fig. 1, the vision-myoelectricity biofeedback-based muscle assessment and rehabilitation training system of the present invention includes: the system comprises a surface myoelectric system, a data processing center, a virtual reality scene interaction system and a controllable training platform, wherein the surface myoelectric system is provided with an electrode patch attached to a rehabilitation trainer and a surface myoelectric system local machine, and the electrode patch is connected with the surface myoelectric system local machine in a wired or wireless mode; the surface myoelectricity system is connected with the data processing center in a wired or wireless way; the data processing center is connected with the virtual reality scene interactive training system in a wired or wireless mode; the virtual reality scenario interactive training system comprises virtual reality glasses and a virtual reality scenario interactive training system local machine; the virtual reality glasses are connected with the virtual reality scene interaction training system in a wired or wireless mode; the data processing center is connected with the controllable training platform in a wired or wireless mode; the virtual reality glasses are worn on eyes of a rehabilitation trainer directly. The electrode patch is stuck on a relevant part connected to the body surface of a rehabilitation trainer, the electrode patch transmits a surface electromyographic signal to the surface electromyographic system local machine, the surface electromyographic system acquires and preprocesses the surface electromyographic signal input by the electrode patch, and the preprocessed surface electromyographic signal is transmitted to the data processing center; the data processing center receives and analyzes the surface myoelectric activity signals, compares the surface myoelectric activity signals with a set threshold value, determines the illness state and the illness state grade, establishes a baseline of rehabilitation training according to the illness state and the illness state grade, and outputs rehabilitation training baseline information to the virtual reality scenario interactive training system; the virtual reality scenario interactive training system converts rehabilitation training baseline information transmitted by the data processing center into a corresponding virtual reality game and displays the corresponding 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 operation of the vision-myoelectricity biofeedback-based muscle injury rehabilitation training system of the present invention starts from the initialization of the system on-system. The patient lies on the controllable training platform, the electrode patch is attached, the patient performs 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 performs pretreatment such as noise reduction and amplification on the surface electromyographic signals, and then the surface electromyographic system transmits the pretreated surface electromyographic signals to the data processing center; the data processing center compares the surface electromyographic signals with a storage threshold value, establishes illness state and illness state degree, establishes a rehabilitation training baseline, transmits rehabilitation training baseline information to the virtual reality scenario interactive training system, and 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 gesture of the platform according to the result of the data processing center so as to match with the strength of rehabilitation training. During rehabilitation training, the surface myoelectric system can collect surface myoelectric activity signals in real time and output the surface myoelectric activity signals to the data processing center. The data processing center periodically analyzes the surface myoelectric activity signals, the data processing center correlates myoelectric biofeedback with the rehabilitation training effect in advance through analysis software, a mapping relation based on the myoelectric biofeedback and the training effect is established, the data processing center compares the surface myoelectric activity signals with a training effect threshold preset by the data processing center, a rehabilitation training base line is determined again according to the surface myoelectric activity signals, the re-determined rehabilitation training base line is transmitted to the virtual reality scene interactive training system and the controllable training platform, and a training scheme and training difficulty are adjusted and optimized in time.
As shown in fig. 3 and 4, the rehabilitation training method of the visual-myoelectricity biofeedback-based muscle damage assessment and training system of the present invention comprises: in a first step, a trained patient is pre-diagnosed clinically by a doctor and/or physical therapist to determine what muscle damage is. And secondly, if the diagnosis is confirmed by manual initial diagnosis as one of the indications, medical staff attach the electrode patches to corresponding muscles of the patient according to the initial diagnosis, wear virtual reality glasses, and the patient finishes a group of basic actions on a controllable training platform according to screen prompts to stimulate muscle activities. The primary controllable training platform training of different patients or the controllable training platform training of the same patient at different times are treated as such. Step three, the surface myoelectric system collects feedback signals of the electrode patches in a wireless signal mode or a wired mode such as wifi and Bluetooth, and the like, and converts the electric signals into analog signals through preprocessing such as filtering, electric signal amplification and the like, namely waveforms displayed in the surface myoelectric system, and whether manual initial diagnosis is correct or not and the symptoms are confirmed according to the waveforms; after confirming the symptoms, carrying out disease assessment according to the initial surface electromyographic signals, receiving signals collected and preprocessed by a surface electromyographic system by a wireless signal mode such as wifi and Bluetooth or a wired mode by a data processing center, analyzing to obtain muscle surface electromyographic activity signals monitored by the patient in the completion of basic actions, comparing the muscle surface electromyographic activity signals with a set muscle injury grade threshold value formulated according to big data and statistics, judging the muscle injury grade, and outputting a muscle injury grade judgment result to a controllable training platform and a virtual reality scene interactive training system; the third step, recommending a virtual game, wherein the virtual reality scenario interaction system recommends a virtual game training scheme which is most suitable for the most targeted according to signals output by the data processing center, and simultaneously the controllable training platform adjusts the virtual game training scheme to a corresponding angle according to signals output by the data center; fourth, evaluating in real time, as shown in fig. 4, in the process that the patient performs training in the controllable training platform, the surface myoelectric system periodically collects myoelectric signals collected by the electrode patches and outputs the myoelectric signals to the data center after preprocessing, and the data center analyzes signals output by the surface myoelectric system to obtain muscle surface myoelectric activity signals monitored by the patient in the process of completing the virtual game, and evaluates the muscle activity state and training intensity adaptability in real time; and fifthly, accurately controlling, namely, if the muscle activity state can reach the data calibrated by the system through a plurality of times of comparison, acquiring signals stably, and the training effect is good, namely, correspondingly increasing the training intensity, for example, increasing the angle of a controllable training platform (for example, adjusting from 15 degrees to 20 degrees), or replacing games with higher training difficulty, otherwise, the training effect is poor, the acquired data are worse than the measurement and initial evaluation value of a base line, namely, correspondingly reducing the angle of the controllable training platform, for example, adjusting from 15 degrees to 10 degrees, or replacing games with lower training difficulty, and improving the pertinence of training, thereby carrying out real-time evaluation and accurate control on the rehabilitation training process of patients.
In one embodiment of the invention, the control system of the controllable training platform supports the requirements of multi-degree-of-freedom control, accurate motion amplitude, friction damping suitable for stretching of human muscles, adjustable posture control, effective safety guarantee and the like of the platform.
In addition, in one embodiment of the invention, a plurality of inertial measurement units (Initial Measurement Unit) are arranged on the controllable training platform, the completion amplitude of each training action of a rehabilitation trainer is fully monitored, monitoring data is uploaded to the data processing center, and the data processing center compares the monitoring data with the bioelectricity feedback data, and mutually proves, so that two-dimensional data analysis is realized, and the accuracy of the data is further confirmed.
According to a preferred embodiment of the invention, the controllable training platform is provided with safety protection means, such as safety belts, armrests or the like, to ensure the safety of the rehabilitation trainee.
According to a preferred embodiment of the invention, the patient can adopt the postures of lying, prone, kneeling, standing, squat, supporting and the like on the controllable training platform according to the requirements of the virtual game.
According to a preferred embodiment of the present invention, the surface myoelectric system of the present invention may be a 16-channel surface myoelectric signal acquisition system, such as the Noraxon Telemyo system of America.
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, or can be physically integrated into a surface myoelectric 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 may be linked with the network big data through a specific APP to obtain more data, so as to expand the application scope of the system of the present invention.
According to one embodiment of the invention, the rehabilitation training method of the visual-myoelectric biofeedback-based muscle damage assessment and training system comprises five basic steps of pre-diagnosis, disease type and disease grade determination, recommendation of virtual reality games, staged secondary assessment and precise control.
Compared with the prior art, the invention has the advantages that:
(1) The virtual reality technology and the myoelectricity biofeedback system are organically combined into rehabilitation assessment and training of muscle damage, the illness state and the illness state degree are scientifically and accurately assessed, a personalized training scheme is realized, and therefore the purpose of accurate rehabilitation training aiming at personal characteristics or specific muscle groups is achieved;
based on the virtual reality software platform, collect the surface electromyographic signals, carry out data real-time analysis and in-situ feedback, in time adjust training task's the degree of difficulty of training, reinforcing training effect, establish two-way feedback model, further improve training efficiency:
(3) The muscle group integrity training of man-machine interaction can be realized;
(4) The rich training environment and on-site feedback information obviously improve the interest of rehabilitation training and the rehabilitation training efficiency;
(5) The controllable operating system of the patient can excite the enthusiasm of the patient to participate in training;
(6) The personnel cost of the medical institution is reduced;
(7) Aiming at the problems of simple and boring traditional training, easy fatigue of patients and the like, through setting the training task grade, boring training is changed into entertainment and rehabilitation, so that the patients exercise in entertainment, and the training effect of the patients is improved; and can reduce psychological stress of patients and dredge negative emotion in the game.
It should be noted that the above description is illustrative only and is not intended to limit the scope of the present invention. All technical solutions falling within the literal and equivalent scope of the claims of the present invention are within the scope of the present invention, for example, although the method and system described herein are suitable for rehabilitation training of patients, they may be used with or without minor modifications to physical training or fitness exercises, etc.
Claims (10)
1. A vision-myoelectricity biofeedback-based muscle injury rehabilitation training system, the system having:
one of the surface myoelectric systems is provided with a surface myoelectric system,
a data processing center is provided with a data processing center,
a virtual reality scenario interactive training system,
a controllable training platform, and
a pain and/or pulse monitoring system;
wherein,,
the surface myoelectric system is provided with a plurality of electrode patches and a surface myoelectric system local machine, wherein the electrode patches are attached to relevant parts of the body of a trained patient, the electrode patches are connected with the surface myoelectric system local machine in a wired or wireless mode, and the electrode patches transmit surface myoelectric signals of the trained patient to the surface myoelectric system local machine;
the surface myoelectric system local machine is used for collecting and preprocessing the surface myoelectric signals transmitted from the electrode patches, and is connected with the data processing center in a wired or wireless mode and used for transmitting the preprocessed surface myoelectric signals to the data processing center;
the data processing center analyzes and evaluates the preprocessed surface electromyographic signals which are locally transmitted by the surface electromyographic system; the data processing center is connected with the virtual reality scenario interaction training system in a wired or wireless mode, and the data processing center outputs analysis and evaluation results of the surface electromyographic signals to the virtual reality scenario interaction training system;
the virtual reality scenario interactive training system is provided with a virtual reality scenario interactive training system local machine and a virtual reality display window, the virtual reality display window is connected with the virtual reality scenario interactive training system local machine in a wired or wireless mode, and the virtual reality scenario interactive training system local machine selects a virtual reality game according to the result transmitted by the data processing center and displays the virtual reality game on the virtual reality display window;
the data processing center is connected with the controllable training platform in a wired or wireless way, 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 gesture and/or 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;
the pain and/or pulse monitoring system is worn on a trainee, pain signals and/or pulse signals of the trainee are collected, the pain and/or pulse monitoring system is connected with the data processing center in a wired or wireless mode, the pain signals and/or pulse signals are transmitted to the data processing center, the data processing center analyzes whether training intensity is proper according to the pain signals and/or pulse signals collected by the pain and/or pulse monitoring system, the data processing center transmits analysis results of the pain signals and/or pulse signals to the virtual reality scenario interactive training system and the controllable training platform, and the virtual reality scenario interactive training system and the controllable training platform adjust static postures and/or dynamic activity amplitudes of the controllable training platform and/or adjust difficulties of virtual reality programs according to the analysis results of the pain signals and/or the pulse signals transmitted by the data processing center.
2. The vision-myoelectricity biofeedback-based muscle injury rehabilitation training system described in claim 1, wherein the virtual reality scenario interaction training system further comprises an intelligent wearing device, the intelligent wearing device is connected with the virtual reality scenario interaction training system in a wired or wireless mode, and the virtual reality scenario interaction training system transmits corresponding touch signals to the intelligent wearing device according to virtual reality program content.
3. A vision-myoelectricity biofeedback-based muscle injury rehabilitation training system as described in claim 1, wherein the data processing center makes an assessment of surface myoelectricity signals collected in real time during training, periodically compares the surface myoelectricity signals with a preset training effect threshold value, and transmits the assessed results to the controllable training platform and/or the virtual reality scenario interactive training system to adjust the static posture and dynamic actions of the controllable training platform and/or change virtual reality game programs.
4. A vision-myoelectric biofeedback-based muscle injury rehabilitation training system as described in claim 1, wherein the evaluation of the surface myoelectric signal by the data processing center is a qualitative evaluation of a condition and a quantitative evaluation of a condition.
5. A vision-myoelectric biofeedback-based muscle injury rehabilitation training system as described in claim 1, wherein the staged evaluation of the surface myoelectric signal by the data processing center is a quantitative evaluation of symptoms and an evaluation of training effects.
6. A vision-myoelectric biofeedback-based muscle injury rehabilitation training system as described in any one of claims 1, 2, 3, 4 and 5, wherein said data processing center may be integrated with said virtual reality scenario interactive training system.
7. A vision-myoelectric biofeedback-based muscle injury rehabilitation training system as described in any one of claims 1, 2, 3, 4 and 5, wherein said virtual reality scenario interactive training system is integrated with said virtual reality display window.
8. A vision-myoelectric biofeedback-based muscle injury rehabilitation training system as described in any one of claims 1, 2, 3, 4 and 5 wherein said data processing center is integrated with said surface myoelectric system itself.
9. A controllable training platform as described in claim 1, said platform further comprising: the plurality of inertial measurement units are used for monitoring training actions of rehabilitation trainers, are connected with the data processing center in a wired or wireless mode and upload monitoring data to the data processing center.
10. A controllable training platform as described in claim 1, said platform further comprising: a safety protection device.
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| 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 |
| CN113274702A (en) * | 2021-06-24 | 2021-08-20 | 安阳师范学院 | Sports rehabilitation training device for household lower limbs |
| CN114224483B (en) * | 2021-11-19 | 2024-04-09 | 浙江强脑科技有限公司 | Training method for artificial limb control, terminal equipment and computer readable storage medium |
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