760 results about "Rehabilitation exercise" patented technology

The invention discloses an intelligent assessment method and device for body rehabilitation of a stroke patient, and relates to the technical field of rehabilitation intelligent assessment, and the method comprises the steps: connecting a medical information management system, and obtaining the stroke medical record information of the current patient; performing identification according to the stroke medical record information; the multi-modal sensing module is connected with the rehabilitation device, performs rehabilitation motion sensing on the limb on the affected side according to the multi-modal sensor, and outputs a multi-modal sensing data set; collecting a multi-modal sensing sample set of a healthy limb corresponding to the limb on the affected side; a rehabilitation evaluation model is constructed, the rehabilitation evaluation model evaluates the multi-modal sensing data set, and rehabilitation level indexes are obtained; the rehabilitation level indexes are fed back to the rehabilitation device for training mode optimization. The technical problems that in the prior art, body rehabilitation evaluation depends on subjective judgment, the limb function recovery condition of the patient is difficult to comprehensively reflect, rehabilitation evaluation efficiency is poor, and the result is inaccurate are solved, and the technical effect of improving rehabilitation efficiency and evaluation accuracy is achieved.

The invention discloses a knee arthroscopic postoperative rehabilitation system based on an internet interaction terminal. The rehabilitation system comprises a system architecture, a case information reading module, a personalized rehabilitation scheme generation module, a rehabilitation exercise guidance module, a self-evaluation and data acquisition module, a re-diagnosis reminding and doctor-patient interaction module and a data statistics and analysis module. Compared with the prior art, the knee arthroscopy postoperative rehabilitation system has the advantages that the problems that in the existing knee arthroscopy postoperative rehabilitation process, individuation is insufficient, rehabilitation guidance is inconvenient, the rehabilitation process is difficult to track, and data utilization is insufficient can be solved; according to the rehabilitation system, personalized, convenient and efficient rehabilitation services are provided for patients, meanwhile, medical staff are helped to better manage the rehabilitation process of the patients, and the overall rehabilitation quality is improved.

The invention provides a remote orthopedic rehabilitation progress evaluation method and system based on digital twinning, and relates to the technical field of medical rehabilitation, and the method comprises the steps: obtaining the body data and rehabilitation exercise task data of a patient; inputting the body data and the rehabilitation exercise task data into a digital twin model; determining a state feature vector of the patient through the digital twin model; inputting the state feature vector into an orthopedic rehabilitation progress evaluation model; determining a rehabilitation progress score of the patient through the orthopedic rehabilitation progress evaluation model; determining a planning score difference degree according to the rehabilitation progress score, and dividing a rehabilitation exercise task according to the planning score difference degree; and adjusting the rehabilitation exercise task according to the division result. According to the invention, the accurate orthopedic rehabilitation progress can be provided, so that the orthopedic rehabilitation treatment is more efficient, flexible and accurate.

A portable therapeutic exercise device is disclosed for strengthening leg muscles in patients with severe muscular weakness after bedrest. The device features a lightweight, compact base with longitudinal rails and a moving carriage equipped with an adjustable footplate, cushion, and straps for secure engagement. Resistance cords provide variable tension, and a lumbar bolster with an adjustable strap stabilizes the base. A distance sensor and Bluetooth-enabled microcontroller relay real-time data to mobile devices for interactive visual biofeedback, including gaming applications. The carriage offers smooth linear motion via bearing wheels with adjustable spacers. Designed for use in hospital beds, chairs, or on the floor, the device provides a safe, adaptable, and engaging solution for rehabilitation exercises.

The invention discloses a rehabilitation exercise system and method based on intelligent interaction, and relates to the technical field of medical rehabilitation, intelligent management of basic information, medical history information, treatment information and medication information of patients is realized through a patient information management module; personalized exercise plans and real-time action guidance are provided for the patient through the rehabilitation exercise module; dynamically evaluating the rehabilitation state of the patient through a rehabilitation evaluation module; a friend communication platform is established through the community interaction module, and science popularization education is provided; and real-time monitoring and early warning of the doctor on the rehabilitation process of the patient are realized through the doctor supervision module. The artificial intelligence technology is adopted, the rehabilitation actions of the patient are monitored and corrected in real time through the camera, the rehabilitation state of the patient is evaluated through the electronic scale and the intelligent scoring system, the exercise plan is dynamically adjusted according to the rehabilitation condition of the patient, the rehabilitation exercise accuracy and the patient compliance are effectively improved, and the rehabilitation effect of the patient is improved. And the intelligent and electronic management of the whole rehabilitation exercise process can be realized.

The invention specifically discloses an automatic generation method for a cervical vertebra disease rehabilitation prescription, and the method comprises the steps: constructing a cervical vertebra image feature automatic measurement system based on computer vision and deep learning, so as to monitor the training motion quality of a patient in real time, and obtaining the kinematics parameters of rehabilitation exercise training; acquiring a medical image and clinical data of a patient, and standardizing the medical image to construct a standard space of a multi-modal medical image; performing automatic segmentation and anatomical structure calibration on a vertebral body-intervertebral disc based on the standard space to obtain fusion image features; and constructing a multi-modal hierarchical decision model fusing the image features, the kinematics parameters and the clinical data to carry out quantitative analysis on pathological feature parameters, and outputting a standardized illness state assessment result conforming to international clinical guidelines. The dynamic optimization of the treatment scheme can be realized through a feedback mechanism, and the treatment effect is improved.

The invention relates to the technical field of medical data analysis and rehabilitation, in particular to a cerebral apoplexy patient rehabilitation exercise analysis system based on medical big data, which comprises a data acquisition module used for acquiring electromyographic signals, exercise data and behavior data of a patient to form a data set; the data processing and fusion module is used for preprocessing the electromyographic signals in the data set, normalizing motion and behavior data and fusing the motion and behavior data into a multi-modal feature vector; the hierarchical analysis module is used for performing motion intention recognition according to the preprocessed electromyographic signals and outputting an intention classification result, recognizing the motion intention and predicting a rehabilitation effect through a double-flow Transform encoder, and evaluating a behavior risk level in combination with a risk factor formula; the optimization module is used for dynamically adjusting the mirror image treatment intensity according to the risk level and optimizing the prediction model by adopting incremental learning; and the interaction module is used for generating a thermodynamic diagram superposition rehabilitation curve in the X-Y coordinate system, and marking doctor intervention suggestions to complete visual interaction.

The invention provides an ankle rehabilitation exercise intelligent management system and method based on multi-modal data fusion, and relates to the technical field of medical rehabilitation, and the method comprises the steps: collecting sole state data and electromyographic signal data of a patient end through a sensor network; determining a target gait mode and gait parameters according to the sole state data, and summarizing to obtain real-time gait data; determining muscle strength and muscle coordination degree according to the electromyographic signal data, and summarizing to obtain muscle state data; constructing an ankle motion function abnormity prediction model, and determining an ankle fault score according to the real-time gait data and the muscle state data; the ankle fault grade is judged according to the ankle fault score, and a personalized ankle rehabilitation strategy is made based on the ankle fault grade and sent to the visual display terminal, so that the ankle movement data can be accurately collected, a personalized rehabilitation exercise scheme is customized, the rehabilitation effect of a patient is improved in combination with an exercise auxiliary structure, and the rehabilitation effect of the patient is improved. The rapid recovery of the ankle function is promoted.

The invention relates to the technical field of exercise risk analysis and early warning, and discloses an exercise risk analysis and early warning system. The exercise risk analysis and early warning system comprises a patient data collection module, a patient exercise risk analysis module, a patient exercise risk early warning module and a data visual storage and display module. According to the system, whether the patient can do exercise or not is preliminarily judged by combining medical records of the patient, the heart rate, the respiratory rate, the body temperature and the stability analysis result of the patient in the exercise process are considered in the process of calculating the # imgabs0 #, the smaller the value of the # imgabs1 # is, the more indicating that the heart rate fluctuates during rehabilitation exercise, and the lower the value of the # imgabs1 # is, the lower the value of the # imgabs1 # is, the more indicating that the patient can do rehabilitation exercise. The more stable the change condition of the step length and the respiratory rate is, the lower the risk degree of the rehabilitation exercise is reflected, so that the patient can visually check the own condition, and the patient can visually see the own rehabilitation condition by checking the # imgabs2 # calculated after the rehabilitation exercise is performed each time.

The invention belongs to the technical field of exercise rehabilitation, and particularly discloses an exercise rehabilitation effect quantitative evaluation method which comprises the following steps: S1, a data acquisition unit acquires data of a patient in an exercise process through fusion of a multi-source sensor; s2, muscle electrical activity signals in the movement process of the patient are collected through bio-electricity signals, and the activation degree and the fatigue condition of muscles in rehabilitation movement are known; s3, acquiring muscle electrical activity signal data according to the acquired multi-source fusion data and the bio-electricity signals, and performing rehabilitation evaluation on the model; s4, according to the output of the evaluation model, a quantitative rehabilitation effect evaluation report is generated, and the report content comprises numerical values of various quantitative indexes, comparative analysis of rehabilitation targets and comprehensive scores of rehabilitation effects; an exercise rehabilitation effect quantitative evaluation system comprises a data acquisition system and a rehabilitation evaluation module. The method solves the problems that a traditional evaluation method is high in subjectivity and single in data, and has the advantages of being objective, comprehensive and accurate in quantification.

The invention discloses an orthopedic ankle joint trauma recovery exercise device in the technical field of medical apparatus and instruments, comprising a base, a support rod fixedly connected to the top of the base, an adjusting assembly fixedly connected to the bottom wall of the base, movement grooves symmetrically formed in the base, movement assemblies fixedly connected in the movement grooves, tibia fixing assemblies symmetrically hinged to the support rod, and tibia fixing assemblies symmetrically hinged to the tibia fixing assemblies. The top end of the supporting rod is further fixedly connected with a controller, and the adjusting assembly, the movement assembly and the tibia fixing assembly are all in signal connection with the controller. According to the device, the requirement of three-dimensional composite rehabilitation exercise of the ankle joint of a patient is met by constructing a multi-degree-of-freedom platform, the ankle joint force application and fatigue threshold value of the patient are calculated and predicted in combination with multi-source data, real-time following of force application of the patient by resistance is achieved, efficient rehabilitation exercise is achieved, and the rehabilitation effect is improved. Buffering is actively released according to the magnetorheological fluid damping principle after the ankles of the patient reach the movement angle threshold value, the burden of movement inertia on the ankle joints of the patient is reduced, and secondary ankle sprain injuries possibly caused by rehabilitation movement are avoided.

The invention relates to the technical field of medical rehabilitation monitoring and data processing, in particular to a limb rehabilitation exercise data evaluation system based on wearable equipment, which comprises a phase-space reconstruction unit for fusing inertial data to construct a state vector and mapping to generate a phase-space state track; the trajectory deviation analysis unit is used for projecting the point cloud to a standard reference trajectory and quantifying a distribution state to generate a trajectory cross-border index; the nonlinear stability analysis unit is used for calculating a maximum Lyapunov index based on trajectory evolution and generating a motion stability classification label; the multi-dimensional feature fusion evaluation unit is used for fusing indexes and labels to decouple and identify compensation and pathology, and triggering real-time feedback; the reference parameter self-adaptive updating unit is used for updating pipeline parameters by utilizing topological characteristics; according to the method, accurate decoupling and personalized evaluation of the rehabilitation exercise quality are realized.

A system for optimizing mechanics and movements in remote or outpatient physical therapy, rehabilitation, sports training, and injury prevention that uses several inertia measurement units (IMUs) to measure a user's motion while performing an action. The IMUs can have additional sensors connected to improve the system's ability to detect flaws in the user's motion. Furthermore, the system uses machine learning to detect and determine flaw in a user's motion from the IMU data. The system may generate feedback to improve the user's motion based on the detected flaws. Different feedback communication may be provided based on the performance of the user after the feedback is provided.

The invention relates to the technical field of digital health, in particular to a personalized rehabilitation exercise method for rheumatoid arthritis patients based on a BCW theory, which comprises the following steps: acquiring joint angle change and calculating a pain delay response coefficient, detecting fluctuation of supporting force and stabilizing force to obtain a joint load tolerance value, analyzing respiratory coordination to generate a respiratory coordination index, and performing rehabilitation training on the respiratory coordination index. The method comprises the steps that a joint angle sensor and pain intensity data are analyzed, a BCW capacity factor weight value is generated in a weighted mode, a fuzzy control algorithm is input to conduct hierarchical mapping adjustment on action amplitude frequency and rest intervals, and exercise adaptability feedback data are generated through monitoring completion degree and pain feedback. The exercise intensity is dynamically adjusted in real time through a data model, a personalized rehabilitation scheme is automatically optimized, the problems that subjective feedback is relied on, and physiological changes cannot be responded in time are solved, more accurate exercise amount adjustment is provided, the situation that the joint burden is increased due to improper exercise intensity is avoided, and the rehabilitation process is effectively promoted.

The invention provides a multi-scale exercise rehabilitation assessment method and system, computer equipment and a storage medium. The method comprises the following steps: acquiring a limb rehabilitation exercise video of a to-be-assessed object in a rehabilitation training process; for each frame of image in the limb rehabilitation exercise video, feature information, including equivalent shape information, vector information and joint point information, of a limb part is extracted; performing feature coding on each limb part to generate a weight and an action sequence code corresponding to each limb part; based on the feature coding result, an evaluation model is constructed, the model is a time sequence model for establishing the internal relation of actions, and an evaluation result of rehabilitation training of the to-be-evaluated object is output. According to the method, the body part information, the limb vector features and the joint point features in the actions can be synthesized to comprehensively evaluate the training actions, so that the training actions are evaluated more accurately.

The invention belongs to the technical field of medical instruments, and particularly relates to a spinal surgery nursing rehabilitation exercise device. The device comprises a bottom plate, the top of the bottom plate is provided with a correction plate made of an elastic material, one end of the correction plate is hinged to the top of the bottom plate, and the bottom of the other end of the correction plate is provided with an adjusting mechanism used for adjusting the distance between the two ends of the correction plate; a first fixing block is horizontally arranged above the bottom plate, a first lifting mechanism is arranged at the top of the bottom plate, supporting rods are vertically fixed to the tops of the two ends of the first fixing block, pull rings are arranged on the outer sides of the supporting rods, and the pull rings are connected with the tops of the supporting rods through connecting ropes. According to the condition of a patient, the distance between the two ends of the correction plate can be adjusted, the bending degree of the correction plate can be adjusted, the back of the patient is made to be attached to the correction plate, and the exercise effect is improved; through the elasticity of the correction plate, the pull ring and the first fixing block, various rehabilitation exercises can be performed, and the occupied space is reduced.

The invention discloses a rehabilitation exercise risk assessment method and device, and relates to the technical field of exercise rehabilitation, and the method comprises the steps: building a body load baseline according to user basic information and static medical history, collecting the exercise posture data of a user through a wearable device, and determining and triggering exercise risk monitoring through three-level abnormal event judgment; and backtracking physiological parameter data, establishing a real-time state vector, comparing the real-time state vector with a body load baseline, outputting a real-time motion risk coefficient, matching a real-time grading intervention strategy, outputting a self-adaptive intervention instruction after an ultra-short-term alarm log is corrected, and driving motion behavior intervention correction. The technical problems of one-sided data and insufficient accuracy caused by the fact that a traditional rehabilitation exercise risk assessment method does not integrate dynamic exercise postures and real-time physiological parameters are solved, accurate and comprehensive assessment, graded intervention and closed-loop tracking of rehabilitation exercise risks are achieved, the exercise injury probability is effectively reduced, and the rehabilitation exercise risk assessment efficiency is improved. And safety and effectiveness of rehabilitation of the patient are guaranteed.

The invention discloses an intelligent tracking method and system for the rehabilitation state process of an orthopedic patient, and relates to the technical field of medical health. By integrating the wearable device, vital signs, motion states and pressure distribution data of a patient are collected and analyzed in real time, the rehabilitation state of the patient can be accurately monitored, and dynamic progress evaluation is provided; based on a rehabilitation progress evaluation result, the system can automatically generate a personalized rehabilitation exercise scheme, exercise intensity, exercise frequency and a training plan are adjusted according to specific requirements of each patient, and high efficiency and safety of the rehabilitation process are ensured; through analysis of vital sign fluctuation, motion precision and plantar pressure balance, the system can identify potential risk factors in real time and trigger early warning in time to help a patient and nursing personnel thereof to take necessary intervention measures, and smooth proceeding of the rehabilitation process is ensured.

The utility model provides an electric wheelchair with a rehabilitation function, which is used for upper limb rehabilitation exercise of a wheelchair user and comprises a touch sensor array arranged on the surface of an armrest of the electric wheelchair, and the touch sensor array comprises a plurality of touch sensors capable of being triggered by touch actions; when the touch sensor array is touched, the trigger state and the triggered sequence of each touch sensor are sent to the control module, so that the electric wheelchair moves according to the trigger state and the triggered sequence of each touch sensor in the touch sensor array; a wheelchair left side driving wheel is controlled by the touch action of the touch sensor array at the left armrest, and a wheelchair right side driving wheel is controlled by the touch action of the touch sensor array at the right armrest, so that a user can automatically judge the exercise amount of upper limb rehabilitation exercise according to the rotating direction and the moving distance of the electric wheelchair; according to the rehabilitation exercise device, convenient rehabilitation exercise can be provided for people with mobility difficulties, and a user can conveniently evaluate the rehabilitation exercise amount of the user.

The present invention discloses an FES cycling control method, system, electronic device, and computer program product, relating to the technical field of rehabilitation training methods. The FES cycling control method combines a flywheel, an electromagnetic clutch, and a bicycle crank to provide an FES cycling control method for the quadriceps femoris of patients with spinal cord injury. This method addresses technical difficulties in FES-based fixed cycling rehabilitation exercises, such as the limited torque of electrically stimulated muscles, the difficulty of precise control of muscles as nonlinear elements, and the tendency for long-term continuous electrical stimulation to induce muscle fatigue. The practical effects of FES-based fixed cycling rehabilitation exercises still need to be improved. Compared with traditional electrical stimulation treatment methods, the present invention effectively reduces the intensity of electrical stimulation, improves energy utilization, and achieves energy-saving effects while ensuring rehabilitation needs.

The invention relates to the technical field of rehabilitation medicine, and provides anti-scar contracture cross-joint wearable rehabilitation exercise equipment which comprises a first bandage, a second bandage, a third bandage and a fourth bandage are sequentially arranged on one side of the first bandage, and acceleration sensors and gyroscope sensors are arranged in the second bandage, the third bandage and the fourth bandage. Massage assemblies are arranged between the second binding band and the third binding band and between the third binding band and the fourth binding band, a storage assembly is arranged on the outer side of the fourth binding band, and air bag rings are fixedly connected to the inner walls of the second binding band, the third binding band and the fourth binding band; an L-shaped rod is pulled in the direction away from a fourth binding band, a spring is pulled, meanwhile, a second binding band is placed on the inner side of a telescopic rod, then the telescopic rod is pulled, a clamping block on the inner side of the output end of the telescopic rod is clamped into a second square groove, then the L-shaped rod is loosened, the spring loses tension, and the L-shaped rod is pulled in the direction of the fourth binding band; a clamping block on the outer side of the output end of the telescopic rod is clamped into a square groove I, so that the device is folded and is convenient for a patient to carry.

The utility model relates to the technical field of physiotherapy devices, in particular to a rehabilitation exercise device. The device comprises a frame body as well as a roller, a lifting rope and a load-bearing assembly which are arranged on the frame body, the roller is located at the bottom of the frame body, the lifting rope extends downwards from the top of the frame body and is used for being fixed with the shoulders of a patient, the other end of the lifting rope is connected with the load-bearing assembly, and the load-bearing assembly is connected with the lifting rope. The weight bearing assembly is used for reducing the weight of the legs of the patient. According to the technical scheme, the rehabilitation treatment effect on the legs of the patient can be improved.

The utility model relates to the technical field of orthopedic rehabilitation, in particular to an orthopedic arm rehabilitation training device which comprises a bottom plate, a first frame is arranged on the upper side of the rear end of the bottom plate, a first protector is arranged above the first frame, a fixing plate is fixedly arranged on the lower side of the first protector, and the fixing plate is in rotating contact in the first frame. An adjusting assembly is arranged on the upper side of the front end of the bottom plate, a second protective tool is arranged above the adjusting assembly, a first fixing base is fixedly arranged at the front end of the first protective tool, and a connecting plate is fixedly arranged at the rear end of the second protective tool. The arm rehabilitation device can perform active or passive rehabilitation exercise on the arm of a patient, and then the width of the first sliding block between the rotation of the second rotating plate and the side wall of the second frame is gradually reduced from the rear end to the front end through the movement of the bolt, so that the resistance borne by the first sliding block in the sliding process in the second frame is conveniently adjusted; therefore, the arms of the patient can actively move in the vertical direction, the rehabilitation time is shortened, and the better and more effective training effect is achieved.

The invention provides a clinical motion control device, method and system, electronic equipment and a medium, and the device comprises an ultra-micro array implantation probe which is configured to be implanted into a brain motor cortex of a patient and collect a neuroelectric signal of the brain motor cortex; the integrated data processing module is electrically connected with the ultra-micro array implanted probe and is configured to convert the neuroelectric signals into digital signals and perform neural decoding on the digital signals to obtain motion control signals containing the motion intention of the patient; and the data transmission module is in communication connection with the integrated data processing module and is configured to transmit the motion control signal to external rehabilitation equipment through a wired interface or a wireless communication mode, so that the external rehabilitation equipment drives the limbs of the patient to execute corresponding rehabilitation motions. According to the invention, large-scale, high-precision and synchronous monitoring can be carried out on brain motor cortex neural activities, the signal acquisition quality is improved through an integrated structure design, and the signal decoding precision is improved at the same time.

The application provides a double-arm upper limb exoskeleton rehabilitation training device, a back component can slide on a base stand in a first direction, a scapula component can slide on the back component in a second direction and moves with the back component, the scapula component is used for following the shoulder movement of a patient, a large arm component is rotationally connected with the scapula component and is used for fixing the large arm of the patient, a small arm component is rotationally connected with the large arm component and is used for fixing the small arm of the patient, and a wrist component is rotationally connected with the small arm component and is used for being held by the patient. The scapula component of the double arm is connected with the back component and rotationally connected with the large arm component, can flexibly move following the shoulder joint of the patient, is not limited to abduction / adduction and flexion / extension, can open the arms according to the needs and carry out multi-angle rehabilitation movement in combination with the rotation of the shoulder joint, so that the shoulder joint is fully rehabilitated, the rehabilitation effect is effectively improved, and the application scene of the upper limb exoskeleton is promoted.

The invention relates to the technical field of rehabilitation treatment, and discloses a lumbar vertebra rehabilitation exercise adjusting method and system based on HAPA and a storage medium. The method comprises the following steps: setting an HAPA psychological scale electronic questionnaire on a patient terminal, collecting answer data, and standardizing to obtain an HAPA psychological index; meanwhile, the waist three-axis angular speed, the myoelectricity root-mean-square value and the voice pain score are collected, and the exercise tolerance index is obtained. And inputting the HAPA psychological index and the exercise tolerance index into an exercise intensity mapping model to obtain an exercise intensity grade, and calling out corresponding parameters from a rehabilitation action library to form a basic training scheme. The exercise intensity grade, the exercise tolerance index and the corresponding threshold value are judged, the exercise parameters of the basic training scheme are correspondingly adjusted, the adjusted parameters and the patient completion degree are transmitted to a cloud end, and model self-learning is achieved. Personalized, intelligent and self-adaptive adjustment of lumbar vertebra rehabilitation training is achieved, and the training tolerance and the rehabilitation effect of a patient are improved.

The present invention relates to the field of respiratory rehabilitation assistance technology, and particularly relates to a respiratory device for elderly rehabilitation assistance treatment, which includes an oxygen supply component, an atomization component, and a respiratory measurement component. It also includes a mounting block, and a respiratory exercise mechanism for patients to perform respiratory exercises is provided at the center of the mounting block; the respiratory exercise mechanism includes a first rotating block slidably engaged with the mounting block, second rotating blocks are provided on both sides of the first rotating block, atomization holes are provided between the first rotating block and the second rotating blocks, and oxygen supply holes are provided on the second rotating blocks; a driving member is provided at the center of the mounting block, and the output shaft of the driving member is coaxially connected to the first rotating block; a bite piece is fixedly connected to the first rotating block, the bite piece is communicated with a detection tube, and a strength measurement mechanism for detecting changes in the patient's respiratory intensity is provided in the detection tube; it also includes a control panel for controlling the operation of the oxygen supply component based on changes in the respiratory frequency; to meet the respiratory rehabilitation exercise needs of different elderly patients and ensure the safety of respiratory exercises.

The invention relates to a trajectory generation method and system based on action intention recognition and a medium. The trajectory generation method comprises the steps that a force value component of force applied by a rehabilitation patient for a recovery position in the rehabilitation exercise process is acquired; identifying a motion intention of the rehabilitation patient based on the strength value component; according to the motion intention, a tail end track of the rehabilitation type exoskeleton robot is generated, and each position in the tail end track is restrained and limited within a preset space range. According to the track generation method, the force exerting condition of the wrist of the patient is collected in real time through the force sensor, the action intention is accurately distinguished and recognized according to the force exerting condition, the problem of distinguishing the motion state of the mechanical arm through the force sensor at the tail end is solved, and the starting state and the stopping state are conveniently distinguished. And through position accumulation and adoption of spatial constraint, a suitable motion track is quickly generated to support and realize the motion, grabbing and obstacle avoidance tasks of the mechanical arm, and support is provided for the motion tasks of the rehabilitation type exoskeleton robot.

The invention discloses a home training rehabilitation device which comprises a plate body, two sliding rails are arranged on the plate body, sliding seats are arranged in the sliding rails in a sliding fit mode, matching grooves used for being matched with elbow joints of a user are formed in the sliding seats, clamping grooves are further formed in the side walls of the sliding rails at intervals, inserting plates are arranged in the clamping grooves in a matched mode, and the inserting plates are connected with the sliding rails in a matched mode. A touch button is arranged on the end face of the plug board, a notch groove is formed in the plug board, a containing groove is further formed in the portion, below the sliding rail, of the board body, the containing groove is provided with a swing arm and a swing block, one end of the swing arm is rotationally connected into the containing groove, the other end of the swing arm is rotationally connected with the swing block, and a connecting arm is rotationally connected to the side wall of the sliding seat. The other end of the connecting arm is rotationally connected to the end, away from the swing arm, of the swing block, and the connecting arm penetrates through the notch groove. The device is simple in structure and reasonable in design, can effectively guide children to perform rehabilitation exercise for improving humpback, and has a good use effect.

Proposed is a method for evaluating and analyzing musculoskeletal injuries through 3D dynamic joint range of motion testing, and postural abnormalities through static posture testing. In the method, compensatory movement (compensatory action) and Limitation Of Motion (LOM) are calculated by analyzing a position or changes in each joint along X, Y, and Z axes when motion injury testing or posture testing is performed, and a rehabilitation exercise and a preventive exercise suitable for each individual are recommended accordingly and guide videos are provided together, thereby increasing the participation rate and the efficiency of the rehabilitation exercise and the preventive exercise.