299 results about "Exercise rehabilitation" patented technology

The invention relates to the technical field of data analysis, and discloses a data analysis system for multi-joint exercise rehabilitation monitoring. The system collects three-dimensional motion data, myoelectricity activity signals and spatial position data of multiple joints in real time through a multi-mode sensor array. The system comprises a data acquisition module, a preprocessing module, a space-time analysis module and a result output module. The preprocessing module is used for carrying out noise removal, normalization and feature extraction on the original data; the space-time analysis module constructs a monitoring model based on a graph space-time network, and analyzes space-time characteristics of multi-modal data through dynamic joint relation modeling by adopting an intelligent chip. And the result output module generates a visual report including exercise coordination evaluation, injury risk prediction and rehabilitation progress judgment, and feeds back the visual report to the rehabilitation equipment in real time. Besides, the system also has distributed storage and real-time feedback functions, the accuracy and efficiency of rehabilitation monitoring are improved, and the problems of single data processing and inaccurate spatial-temporal feature capture in the prior art are solved.

The invention discloses an exercise rehabilitation assessment method and system based on limb posture and emotion recognition, and the method comprises the steps: collecting a motion video, recording the age and gender information of a patient, constructing a self-made data set, defining a candidate region containing the rehabilitation motion of the patient, constructing a basic motion posture data set, and carrying out the recognition of the rehabilitation motion of the patient based on a posture estimation algorithm. Personalized limb skeleton key points are extracted, and emotion features are obtained through face key point detection and face action unit analysis; analyzing the motion trail of the knee joint based on the personalized limb skeleton key points, and extracting limb posture information; and carrying out feature fusion on the limb posture information and the emotional features to form a quantitative rehabilitation evaluation result. According to the invention, high-precision capture of the key points of the human skeleton is realized through computer vision and pattern recognition technologies. In addition, in combination with analysis of the emotional state of the patient, the evaluation accuracy is enhanced, and the rehabilitation training effect evaluation is more comprehensive and accurate.

The invention relates to the technical field of exercise rehabilitation, and discloses a percutaneous spinal nerve electrical stimulation system and method, and the system comprises a power module which is used for converting an external alternating current into a stabilized power supply; the MCU module controls the pulse signal generation module; the pulse signal generation module is used for generating an electrical stimulation waveform; the DAC module receives the digital signal; the modulation module is used for receiving analog signals; the amplification module is used for receiving modulation waveforms; the multi-channel gating module is used for distributing stimulation current to a plurality of channels; the current detection module monitors the magnitude of current output by each channel in real time; and the ADC module performs digital conversion on the current analog signal output by the electrical stimulator. According to the invention, multi-channel and real-time modulation electrical stimulation signals can be output through modulation of two paths of stimulation signals, spinal cord sensory nerves are activated through the non-invasive epidermal electrode, amputation hand feeling is induced, the defect that electromyographic signals are interfered by the tail end of a stump in the prior art is improved, and the accuracy of an electromyographic signal decoding algorithm is also improved.

The invention provides an intelligent wearable rehabilitation monitoring and evaluation device after anterior cruciate ligament injury, and relates to the technical field of exercise rehabilitation and intelligent medical monitoring, the device comprises a sensor acquisition module, a signal processing module, a compensation determination module, a difference determination module and an evaluation analysis module, a force-electricity coupling flexible sensor, an IMU and a pressure sensor, the method comprises the following steps: synchronously collecting a muscle force signal, a surface electromyogram signal, an attitude signal and a plantar pressure signal at the same position, performing dynamic filtering, confidence enhancement and personalized compensation processing, extracting a difference feature vector, inputting the difference feature vector into a muscle force prediction model, and outputting a quantitative evaluation result. The portable wearable long-term dynamic monitoring is realized, the core indexes of muscles, joints and gaits are covered in multiple dimensions, the assessment is accurate and real-time, the rehabilitation scheme can be optimized, the risk of re-injury is reduced, and the rehabilitation effect and compliance of a patient are improved.

The invention discloses a spine rehabilitation training device, comprising: a rehabilitation training assembly comprising a head and neck supporting mechanism, a thoracolumbar supporting mechanism and a caudal vertebra supporting mechanism which are arranged at intervals from top to bottom and are connected with each other through a flexible connecting piece I, the head and neck supporting mechanism, the thoracolumbar supporting mechanism and the caudal vertebra supporting mechanism each comprise a plurality of air bag supporting pieces arranged at intervals. The plurality of air pumps are respectively used for supplying air to the plurality of air bag supporting pieces so as to adjust the pressure on each part of the body; and the control unit is connected with the plurality of air pumps and can independently control the start and stop of each air pump so as to control the pressure of each air bag supporting piece. Bed-in-bed, physical or exercise rehabilitation treatment methods can be selected according to different periods, and the application range is wide.

The invention belongs to the field of medical rehabilitation, and particularly discloses a diabetic foot ulcer patient non-load exercise rehabilitation exercise decision support system which comprises an evaluation grading module used for obtaining multi-mode ulcer data of a patient and scientifically grading diabetic foot ulcers of the patient in combination with a layering algorithm to obtain a grading result; the scheme generation module is used for matching a non-load exercise scheme suitable for the patient in a database according to the grading result and generating an initial exercise scheme; the exercise feedback module is used for sending the initial exercise scheme to a patient terminal, acquiring the exercise completion condition of the patient and performing personalized adjustment on the exercise intensity and frequency through a dynamic regulation and control mechanism; according to the method, static ulcer features and dynamic physiological features are combined through a multi-modal data fusion technology, automatic grading is realized based on an AI algorithm, and scientificity and consistency of grading evaluation are remarkably improved.

The invention relates to a diabetes exercise rehabilitation and diet collaborative management method, device and equipment and a medium. The method comprises the following steps: acquiring individual feature data, physiological data and daily behavior data of a diabetic patient, and constructing a personalized portrait of a user; generating an exercise plan and a diet plan according to a set period based on the personalized portrait of the user; in response to the obtained real-time user data, dynamically correcting the exercise plan and the diet plan to obtain an exercise and diet collaborative plan; the real-time user data comprises blood glucose data, diet intake data and exercise data; the exercise and diet collaborative plan comprises exercise items arranged based on time points and diet arrangement; generating a corresponding push instruction according to the time point; the pushing instruction is used for indicating to push corresponding exercise items or diet arrangements to the terminal of the diabetic patient. By adopting the method, the problem of inadaptation caused by a rigid fixed plan can be avoided by an exercise-diet collaborative intervention mechanism, and the management response capability of external variable change is improved.

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 provides a transient stage electromyographic signal gesture recognition method based on electromyographic activation intensity transfer characteristics and self-adaptive analysis window length. The invention aims to solve the problems of imbalance between spatial features and operation cost, imbalance between recognition accuracy and response speed and low algorithm generalization between individuals and between tasks in the traditional electromyographic signal processing technology when transient stage signals are utilized. The method comprises the following steps: firstly, performing signal acquisition and preprocessing, starting point detection, signal frame formatting, feature extraction and SVM classifier training in an offline mode; in the online mode, the preprocessed signals are collected, a starting point is detected, the signals are formatted, myoelectricity activation intensity transfer features are extracted and input into an offline SVM classifier, the length of an analysis window is dynamically adjusted according to the confidence coefficient, and finally the threshold value of the confidence coefficient is fed back and adjusted in real time. Practice verifies that the method can effectively give consideration to the spatial features and the operation cost, achieves the balance between the recognition accuracy and the response speed in different individuals and tasks, remarkably improves the generalization of the algorithm, and provides more efficient and accurate technical support for the fields of artificial limb control, exercise rehabilitation equipment and the like.

The invention relates to a personalized exercise rehabilitation risk early warning method and device based on IMU dynamic instability assessment, and the method comprises the steps: collecting multi-dimensional exercise data of a subject, carrying out the posture fusion, and obtaining the limb posture, joint angle change rate and angular momentum of the subject; performing time sequence mode decomposition to extract a single gait cycle and a specific jump landing attitude; calculating a biomechanical feature vector of each motion primitive; inputting the single gait cycle, the specific jump landing attitude and the biomechanical feature vector into a hybrid injury induced motion model, and outputting a multi-dimensional injury risk index vector; and comparing the multi-dimensional injury risk index vector with historical health data and a moving target dynamic adjustment threshold value of the subject, and if the threshold value is exceeded, providing real-time auditory, tactile or visual feedback to the subject. According to the method, the influence of movement speed and rhythm change is overcome, dynamic instability in movement can be more sensitively reflected, and personalized risk assessment in a real sense is realized.

The embodiment of the present application provides a sports rehabilitation training method, electronic device and sports rehabilitation training system. The method includes: in the process of using a sports training device to perform rehabilitation training on the limbs of the training object, outputting the movement prompt information corresponding to the first training task of the sports training device in the current time period, so that the training object generates a movement intention according to the movement prompt information to actively follow the movement of the sports training device; obtaining the EEG activity information of multiple positions of the training object's brain in the current time period; according to the EEG activity information, determining the consistency information between the first movement intention of the training object in the current time period and the first training task and the consistency information between the first training task; according to the consistency information, determining the second training task of the sports training device in the next time period. The training effect of sports rehabilitation training can be significantly improved.

The invention provides a motion rehabilitation method, device and equipment for movement fear of a cardiovascular disease combined weak patient. The method comprises the following steps: S101, establishing different potential category influence factor models of movement fear of the cardiovascular disease combined weak patient on the basis of a potential category analysis method; s102, based on a knowledge graph technology, aggregating related evidence-based evidences of health education and exercise rehabilitation of the movement fear of the senile cardiovascular disease and weak patient, and constructing to obtain a knowledge graph-based exercise rehabilitation knowledge base of the movement fear of the senile cardiovascular disease and weak patient; s103, in combination with the potential category influence factor model and the multi-modal data of the patient, constructing a multi-modal data-based digital twinborn body of the senile cardiovascular disease combined with the dynamic terrorism of the weak patient; and S104, according to the dynamically updated digital twinborn model, performing matching from the exercise rehabilitation knowledge base according to the health target, the body condition, the real-time environment and the preference characteristics of the patient to obtain personalized health education and exercise prescription recommendation.

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 relates to a diabetes exercise rehabilitation guidance system, relates to the technical field of diabetes rehabilitation, and aims to provide a personalized and scientific exercise management scheme for diabetics. The system comprises a user individual feature data acquisition module, an evaluation and classification module, an exercise scheme generation module, a real-time monitoring module and a feedback and adjustment module. By collecting the physiological parameters of the user in real time, the system automatically analyzes the health condition of the user and classifies the user into low-risk, medium-risk and high-risk exercise crowds. Based on a classification result, the system uses a machine learning algorithm to generate a personalized exercise scheme, and the safety of the exercise process is ensured through dynamic monitoring. The real-time monitoring module of the system can monitor the physiological data of the user in the exercise process and give an alarm in time when an abnormality is found. Through connection with an information system of a medical institution, the system also supports a remote medical function, so that doctors can check health data of patients in real time and provide professional guidance.

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 a wearable electrocardiogram monitoring method based on composite lead and intelligent reconstruction. Belongs to the technical field of medical signal processing and wearable medical instruments, and solves the technical problems of insufficient multi-lead information amount, poor lead stability, motion artifact interference, unreliable missing lead complementation and the like of the existing wearable electrocardio equipment. According to the technical scheme, the method comprises the steps that a plurality of non-inductive electrodes are arranged on a trunk to achieve multi-channel collection of composite leads; the front end uses an analog front end (AFE); multi-stage denoising is carried out cooperatively at the equipment end and the edge end; when the lead is missing or poor in quality, complementing the lead by using a deep reconstruction network of cross-lead attention and fuzzy gating; and finally, inputting the purified or reconstructed electrocardiosignal into a multi-label deep learning classifier. According to the method, the wearing comfort, the information integrity, the transmission efficiency and the real-time diagnosis capability are considered, and the method is suitable for multi-scene long-time electrocardiogram monitoring and early warning in families, hospitals, exercise rehabilitation and the like.

The invention discloses an active health management method and system based on artificial intelligence, and relates to the technical field of health management, and the method comprises the steps: collecting an original voltage sequence of a target user in a target joint region, and determining a candidate center moment of the original voltage sequence; a feature entry set of the FCEP event is screened out according to the candidate center moments, and each feature entry in the feature entry set comprises a feature center moment, a bipolar peak time interval and a bipolar peak amplitude; constructing an interpolation function based on the feature center moment, and purifying the original voltage sequence through the interpolation function to obtain a purified voltage sequence; calculating the joint angular velocity of the target user and the adhesion index of the target flexible patch according to the bipolar peak amplitude; and outputting a counting result of the FCEP event according to the joint angular velocity and the adhesion index, and generating a health management scheme of the target user according to the counting result. The safety and effectiveness of exercise rehabilitation and daily nursing can be improved.

The utility model belongs to the technical field of rehabilitation devices, and particularly relates to a lower limb non-load-bearing exercise rehabilitation device which comprises a base, a support is installed at the top of the base, a fixed bed board and a rotatable bed board are installed at the top of the support, a connecting frame is connected to the side face of the support, and a telescopic groove is formed in the connecting frame and connected with the telescopic frame in an inserted mode. A sliding groove is formed in the side face of the hanging bracket. A second lead screw is rotationally arranged on the inner side of the hanging bracket and is in threaded connection with a lead screw motor. The sliding groove is in sliding connection with a sliding frame. The lead screw motor and the sliding frame are fixed. A winding drum is installed on the inner side of the sliding frame, and a second motor is installed on the side face of the sliding frame. A hanging belt is wound on the outer side of the winding drum, the bottom of the hanging belt is connected with a leg supporting plate, one end of the leg supporting plate is rotationally connected with a sole pedal, a control monitoring device is installed on the side face of the support, and the device has the weight-free training function that the training action amplitude and strength can be accurately controlled.

The invention discloses a muscle state analysis method for analyzing muscle strength based on electromyographic signals, belongs to the technical field of neuromuscular physiology and data processing, and solves the problem that traditional electromyographic analysis lacks activation degree and fatigue degree multi-dimensional dynamic evaluation ability. Through multi-channel electromyographic signal collection and feature extraction and in combination with a calculation model, the muscle activation degree and the fatigue state are accurately evaluated. The functional state of the target muscle under the specific action can be dynamically monitored, and a reliable scientific basis is provided for movement safety; and moreover, the defects in the aspect of muscle state analysis in the prior art are overcome, and the method has important clinical application value in the aspect of improving exercise rehabilitation and training effects.

The invention discloses a postoperative rehabilitation management method for a breast tumor patient and related equipment. The method comprises the following steps: sending an exercise rehabilitation initialization instruction to a target patient under the condition that the intelligent wearable equipment monitors that the operative limb of the target patient is in a natural sagging state; under the condition that the target patient completes the exercise rehabilitation initialization instruction, positioning a shoulder joint on the operative limb side of the target patient based on a movement track collected by an intelligent wearable device; under the condition that the target patient carries out the operation limb movement rehabilitation, the operation limb movement pose of the target patient is predicted through the intelligent wearable device based on the obtained shoulder joint positioning of the target patient, so that movement rehabilitation management is carried out. The multiple problems that postoperative rehabilitation of breast tumors is a key link in continuous treatment, but at present, patient cognition is insufficient, medical resources are not evenly distributed, a rehabilitation path is not clear, and informatization support is insufficient can be solved.

The utility model discloses an ankle pump exercise rehabilitation pad which comprises a soft pad body, an air bag used for supporting the heel of a patient is arranged on the front face of the soft pad body, a processor and at least one sensor in communication connection with the processor are arranged on the soft pad body, and the processor is arranged at the position corresponding to the bottom of the air bag. The sensor is arranged to be used for detecting actions of feet of a patient on the air bag and can transmit detection information to the processor; the processor comprises a processing unit and an execution unit, wherein the processing unit can receive a detection signal sent by the sensor and compare the detection signal with a preset value, and the execution unit is used for receiving a control instruction sent by the processing unit and giving out corresponding indication information based on the control instruction. The utility model provides an ankle pump motion rehabilitation pad which can detect whether the motion of a patient is in place or not when the patient performs ankle pump motion so as to give indication information, so that the motion is standard and the effect is good when the patient performs the ankle pump motion by himself / herself.

The invention relates to the technical field of exercise rehabilitation, and discloses a hemodialysis patient exercise rehabilitation virtual training platform which comprises a dialysis state acquisition module used for acquiring dialysis parameters reflecting the dialysis tolerance state of a patient in real time in the hemodialysis process; the mapping module is connected with the dialysis state acquisition module and is used for mapping the dialysis parameters into virtual training constraint parameters; according to the hemodialysis patient exercise rehabilitation virtual training platform, dialysis parameters reflecting the dialysis tolerance state of a patient are collected in real time in the hemodialysis process, the dialysis parameters are mapped into virtual training constraint parameters, the action amplitude, the action rhythm and the training process in virtual training are controlled to be executed, and the hemodialysis patient exercise rehabilitation virtual training platform has the advantages that the training efficiency is improved; the virtual training content can be dynamically adjusted along with the change of the hemodialysis state, so that potential safety hazards caused by adopting a fixed training scheme are avoided, and the safety of exercise rehabilitation training during dialysis is improved.

The invention relates to a closed-loop control method suitable for personalized lower limb exercise training, belongs to the technical field of exercise rehabilitation, and designs a closed-loop control method for dynamically adjusting lower limb training load according to muscle activation degree by combining surface myoelectricity characteristics with a personalized training model and a closed-loop control algorithm. According to the method, the resistance load can be adjusted in real time according to the muscle state, and finally the muscle activation level in the training process is maintained in an expected range. In the pre-training stage, sEMG data are collected to establish a personalized mapping model, and response characteristics of individual muscles are quantified; in the formal training stage, the muscle state is monitored in real time, the reference load is predicted through the model, and a closed-loop control algorithm is adopted to generate dynamic adjustment amount to adjust resistance output in real time. The invention further provides a closed-loop control system suitable for personalized lower limb exercise training.

The invention relates to the field of limb exercise rehabilitation, in particular to an evaluation and training method for limb rehabilitation exercise of old people, and the method comprises a rehabilitation data collection module, an evaluation module and a training plan making module, the rehabilitation data collection module is used for collecting real-time rehabilitation information when the old people perform rehabilitation exercise in a current rehabilitation training period; the training plan making module is used for collecting rehabilitation test information of the old in a current rehabilitation exercise test, the evaluation module obtains and outputs a basic evaluation value, an endurance evaluation value and a rehabilitation effect evaluation value according to real-time rehabilitation information, the rehabilitation test information and historical evaluation data, and the training plan making module is used for automatically making a training method of a next rehabilitation training period. According to the method, the joint motion ability and pain feeling of the elderly patient are comprehensively considered, the exercise endurance related factors are introduced, the rehabilitation condition of the elderly patient is evaluated more comprehensively, the rehabilitation effect is dynamically monitored later, a scientific basis is provided for adjusting a rehabilitation training plan, and comprehensive, dynamic and personalized rehabilitation evaluation and training are achieved.

The invention discloses a post-operation thrombus-preventing lower limb resistance exercise rehabilitation device which is applied to the field of exercise rehabilitation devices and comprises a base, two supporting plates are bolted to the top of the base, the two supporting plates are installed in an aligned mode, a support is arranged at the top of the base, and the supporting plates are connected with the support through bolts. The number of the supports is two, first connecting blocks are connected to the supports in a bolted mode, and second connecting blocks are connected to the supporting plates in a bolted mode. Three clamping grooves are formed in each of a first connecting block and a second connecting block, fixing blocks are clamped in the clamping grooves in the first connecting block and the clamping grooves in the second connecting block, and the exercise rehabilitation device can provide exercise strength for a user under the action of spring pieces, so that the exercise rehabilitation device is more convenient to use. A user can select a proper number of spring pieces according to the actual needs of the user, the purpose of adjusting the exercise intensity is achieved, and the use practicability is improved.

The finger rehabilitation exerciser for nursing in the rehabilitation department comprises a bottom plate, a storage mechanism is arranged in the bottom plate, a vertical plate is fixedly arranged at the top end of the bottom plate, and a first exercise mechanism facilitating thumb exercise is arranged on one side of the top end of the vertical plate. A plurality of second exercising mechanisms facilitating finger exercising are arranged on one side of the vertical plate, each second exercising mechanism comprises a first groove body, a first sliding groove, a first pressing block, an exercising assembly, a first screw hole and a first hollow cylinder, and each first groove body is formed in one side of the vertical plate. The screw rod is installed in the first screw hole, fingers are pressed on the first pressing block during exercise, then the spring is pressed for exercise work, when strength needs to be adjusted, the screw rod is detached from the interior of the first screw hole in a rotating mode, springs with different elastic forces are replaced, and therefore the exercise strength can be adjusted, various exercise tools are not needed, and the exercise efficiency is improved. And the exercise rehabilitation cost is reduced.

The invention discloses an anti-toppling multifunctional exercise rehabilitation device, and relates to the technical field of rehabilitation exercise equipment, the anti-toppling multifunctional exercise rehabilitation device comprises a rehabilitation wheelchair and a rehabilitation pedestal, a pushing channel is arranged above one side of the rehabilitation pedestal, the pushing channel is used for pushing the rehabilitation wheelchair, a first locking assembly is arranged below the rehabilitation wheelchair, and the first locking assembly is connected in the pushing channel; a second locking assembly is further arranged in the pushing way and arranged behind the rehabilitation wheelchair. A mounting plate is arranged above the other side of the rehabilitation pedestal, an exercise pedestal is mounted on the mounting plate, an auxiliary exercise assembly is connected to the exercise pedestal, and anti-toppling assemblies are arranged on the two sides of the exercise pedestal and the bottom of the rehabilitation pedestal. According to the anti-toppling multifunctional exercise rehabilitation equipment, accurate positioning of the rehabilitation wheelchair and the rehabilitation pedestal is achieved through a multi-stage locking structure of the first locking assembly and the second locking assembly, anti-toppling protection is achieved from the whole and local parts of the equipment in cooperation with the anti-toppling assembly, and the safety of rehabilitation exercise is greatly improved.

The utility model relates to the technical field of joint nursing, and discloses an orthopedic nursing joint limiting device which comprises a first limiting plate, a second limiting plate and a bandage installed on the first limiting plate and the second limiting plate, an adjusting unit is installed on the side wall of the first limiting plate, and the adjusting unit comprises a fixing shaft fixedly connected with the side wall of the first limiting plate; the first limiting plate and the second limiting plate are connected through the adjusting unit, the inserting rod of the limiting unit is inserted into the inserting hole in the fixing sleeve on the outer wall of the adjusting unit to limit the first limiting plate and the second limiting plate, and then the first limiting plate and the second limiting plate can rotate conveniently through separation of the inserting rod and the inserting hole; the lower limb joints can be fixed and recovered, fixation can be cancelled for exercise rehabilitation of the joints, a patient can conveniently cancel angle limitation of the first limiting plate and the second limiting plate by himself, the original fixing angles of the first limiting plate and the second limiting plate can be conveniently found, and practicability is improved.

The utility model provides a joint angle limiting structure of a trainer, which belongs to the technical field of exercise rehabilitation equipment and comprises a seat cushion and a backrest behind the seat cushion, a support frame is arranged below the seat cushion, a side support tube is arranged on one side of the bottom of the support frame, a spindle support tube is arranged above one end of the side support tube, and a limiting shell is arranged at the upper end of the spindle support tube. A supporting rod is arranged at one end of the bearing seat; a limiting plate is arranged on the lower surface of the rear end of the supporting rod; a reinforcing arc-shaped plate is arranged at the rear end of the bearing seat; a kicking welding plate is arranged on the side face of the limiting shell; a joint rotating sleeve is arranged on the side face of the lower portion of the kicking welding plate and can be connected with the kicking welding plate through a fan-shaped adjusting plate, a standard air cylinder and a piston rod are connected with the kicking welding plate through a connecting rod, the upper end of the kicking welding plate is connected with a limiting shell through a supporting rod, and a bearing seat, a limiting plate and a reinforcing arc-shaped plate in the limiting shell control movement of the kicking welding plate.

The utility model relates to the field of rehabilitation of cerebral apoplexy patients, in particular to a multifunctional hospital gown special for turning over and rehabilitation of the cerebral apoplexy patients. The technical problem that in the rehabilitation process of a stroke patient, due to the fact that most patient clothes are single in structure and cannot provide the turning and rehabilitation functions, the investment of rehabilitation nursing personnel is seriously increased is solved. According to the technical scheme, the multifunctional hospital gown special for turning over and rehabilitation of the stroke patient comprises an upper garment body and further comprises a connecting rope, a first connecting band and a fourth connecting band. Through the arrangement of the first connecting belt and the second connecting belt, more time and labor are saved in the rehabilitation nursing process of medical staff, the connecting rope penetrates through the first handle groove and the third handle groove and is tied to a handrail on a sickbed, a patient can be prevented from sleeping flat after turning over, the traction effect is achieved, and the patient can be prevented from falling off. A connecting rope penetrates through the interior of a fourth handle groove in a fourth connecting belt, and the patient can autonomously perform exercise rehabilitation of the lower limbs by pulling the connecting rope.