254 results about "Training intensity" patented technology

The invention provides a time sequence fusion and health state prediction method and system for multi-dimensional physiological data, and relates to the technical field of electrical digital data processing.The method includes the steps that high-precision sensing equipment and a parameter calibration model are adopted to calibrate data, time synchronization and error compensation are achieved through a weighted fusion algorithm, and the accuracy of physiological parameters is improved; meanwhile, a fatigue index and a pressure index are corrected in real time by using a closed-loop feedback mechanism, and a comprehensive state index is generated based on an evaluation result for further analysis and prediction; the change trend of the comprehensive state index is predicted through a machine learning technology, and a targeted dynamic rehabilitation scheme including training intensity optimization, diet adjustment, rest cycle planning and the like is provided in combination with physiological data of the user; and a timing feedback mechanism is established, so that the user can obtain health state change and adjustment suggestions in real time, thereby improving scientificity and timeliness of a rehabilitation scheme, remarkably optimizing the rehabilitation effect and efficiency, and realizing intelligent health management at the same time.

The invention relates to the field of rehabilitation instruments, in particular to an intelligent pneumatic hand function rehabilitation training system which comprises a flexible exoskeleton glove provided with a pneumatic muscle array and used for assisting fingers of a user in grasping training. The fingertip position of the glove is connected with a magnetorheological damper through a flexible cable, and the magnetorheological damper is used for providing dynamic resistance in the training process. The electrical stimulation module is used for activating hand muscle groups in a targeted manner through a surface electrode and enhancing neuromuscular control; the sensor module is used for collecting physiological data of a user in real time; the physiological data comprises electromyographic signals and tissue blood oxygen saturation; the control unit is used for switching training modes, by means of the intelligent air pressure hand function rehabilitation training system, the training intensity can be matched with the real-time ability of a patient all the time, and the rehabilitation training effect is improved.

The invention discloses a chronic lumbago rehabilitation method and system combined with electromyographic signal mode recognition, and relates to the technical field of electromyographic signal recognition. By collecting electromyographic data of lumbar and abdominal muscle groups in real time, extracting characteristics such as an integral electromyographic value and a median frequency, and calculating dynamic adjustment parameters based on a change rate in a continuous time window; a dynamic fatigue threshold interval is formed, and the real-time fatigue state of the patient is judged. According to the comparison relation between the instantaneous fatigue degree data and the dynamic threshold value, an adjusting coefficient used for adjusting the output power of the rehabilitation training equipment is generated, and the training intensity can be adjusted in a self-adaptive mode along with the muscle state. According to the method, excessive training or insufficient training can be effectively avoided, the safety, individuation and intelligence level of rehabilitation training can be improved, meanwhile, the real-time intervention burden of a rehabilitator can be relieved, the training efficiency and the rehabilitation effect can be improved, and the advantages of closed-loop dynamic regulation and control can be fully embodied.

The embodiment of the invention discloses a cerebral apoplexy upper limb rehabilitation training system and method based on dynamic reward feedback. A data acquisition module is used for acquiring physiological signals, motion signals, emotional state data and training performance data; the motion intention decoding module is used for performing motion intention feature extraction and reliability evaluation on the physiological signals according to an improved MREE-Net + + fusion algorithm, performing weighted fusion after feature weights are adjusted according to a reliability result, obtaining a unified motion intention feature vector, performing motion intention decoding, and obtaining a motion intention intensity index and a motion intention vector; the dynamic reward decision module is used for processing the facial micro-expression data according to an improved VGG-Face model to obtain an emotion titer, and obtaining an emotion awakening degree according to the voice signal; a reward action is generated according to an improved deep reinforcement learning algorithm; and the adaptive training regulation and control module is used for generating a personalized virtual training scene according to the generative adversarial network and regulating and controlling the training intensity according to the fatigue index. The rehabilitation training effect can be improved.

The utility model discloses a rehabilitation training device for nursing chronic obstructive pulmonary disease, a pedaling device comprises a mounting frame and a linkage assembly, and the mounting frame is arranged on the other side of a support frame; the linkage assembly is rotatably arranged in the mounting frame; the breathing device comprises a breathing box, a breathing assembly, a hose and a mask, and the breathing box is arranged on one side of the top of the mounting frame; the breathing assembly is arranged in the breathing box, and the breathing assembly is connected with the linkage assembly; one end of the hose is connected with the breathing assembly; the mask is connected with the other end of the hose; the control system comprises a microprocessor, and the microprocessor is arranged in the breathing box and connected with the breathing assembly. Therefore, the device combines pedaling and breathing training, strengthens lower limb strength and improves the breathing function, the linkage assembly ensures synchronization of the pedaling and breathing training, the training effect is improved, the built-in control system monitors breathing in real time, the training intensity is automatically adjusted, safety and comfort are guaranteed, and the training effectiveness and patient compliance are improved.

The invention relates to the technical field of postoperative rehabilitation equipment, and provides a cardiovascular postoperative rehabilitation trainer which comprises a bed body, an upper limb training position, a lower limb training position and a bed board, the upper limb training position and the lower limb training position are arranged on the two opposite sides of the bed body, and the bed board is slidably connected to the portion, between the upper limb training position and the lower limb training position, of the bearing surface of the bed body; the upper limb training part is arranged at the upper limb training position, the upper limb training part comprises a counterweight assembly and a first driving assembly, the first driving assembly is connected to the bed board and the counterweight assembly, and the bed board drives the counterweight assembly to move through the first driving assembly; the lower limb training part is arranged at the lower limb training position, the lower limb training part comprises a pedal, a movement assembly and a resistance piece, the pedal is connected to the movement assembly and used for driving the movement assembly to move, and the resistance piece is used for providing resistance in the movement process of the movement assembly. A patient drives the equipment to work through self strength, the effect of exercising the cardiopulmonary function is achieved, meanwhile, the training intensity can be adjusted, and use is more flexible.

This application relates to the field of intelligent control technology for fitness equipment, and provides a method for intelligent matching of training intensity for an ab wheel based on adaptive adjustment of elastic resistance. The method acquires real-time motion state data of the user during ab wheel training through a sensor module; inputs the motion state data and physiological state data into a training intensity matching model, which calculates the matching degree between the current training intensity and the target training intensity based on preset training target parameters and the user's input basic body parameters; when the matching degree is lower than a preset matching threshold, a resistance adjustment command is generated according to the training intensity matching model. The resistance adjustment command controls the deformation degree or the number of meshing teeth of the elastic element in the elastic resistance adjustment device to change the elastic resistance torque when the ab wheel rolls. This method fills the technological gaps in dynamic matching of training intensity, nonlinear resistance adjustment, and closed-loop feedback control, providing a new approach for the design of intelligent fitness equipment.

The invention relates to the technical field of medical instruments and digital health, in particular to an intelligent device of a child respiratory training device and a using method thereof, and the intelligent device comprises a silica gel nozzle, a plastic inlet piece, a mode disc, a silica gel suction valve, an adjusting spring, a frequency ball, an airway cavity, a strength disc, a detection module, an air inlet and outlet grating, a spring sliding piece, a silica gel exhalation valve and a mapping system; the mapping system comprises a self-adaptive algorithm module and a game mapping module. The self-adaptive algorithm module is used for calculating a gear and a training mode required by a user based on personal information of the user; the game mapping module sets a game scene and a training feedback mode based on breathing training of a user. The breathing mode and the training intensity are adjusted through a pure mechanical structure, the problem of insufficient user compliance is solved by combining breathing training with a game dynamic mapping engine, and the problem of individual difference is solved through a self-adaptive algorithm.

The invention discloses a physical fitness rehabilitation training device and method based on physical exercise, and relates to the technical field of physical training devices.The physical fitness rehabilitation training device comprises a fixing frame and a holding rod, vertical rods are arranged on the two sides of the top of the fixing frame, and height adjusting assemblies used for adjusting the height of the holding rod are arranged on the vertical rods; a position adjusting assembly is arranged on the fixing frame, a sliding rod is arranged on the position adjusting assembly, a mounting plate is arranged on the top of the sliding rod, and the resistance assemblies with the required number are fixed to the mounting plate through connecting assemblies according to the training requirement of a trainee, so that when the trainee pulls up, the resistance assemblies are fixed to the mounting plate through the connecting assemblies. According to the pull-up training device, the legs need to overcome the resistance brought by the connected resistance assemblies, so that the resistance needing to be overcome by the legs during pull-up becomes larger, rehabilitation of a trainee can be better facilitated, the strength of the upper limbs and the lower limbs can be exercised at the same time during rehabilitation training, and different training intensities can be adjusted according to the rehabilitation degree of the trainee.

The application discloses a self-adjusting breathing training device, which comprises a gas control valve sleeve, the gas control valve sleeve comprises an inclined side wall, the gas control valve sleeve comprises a breathing interface and an atmosphere interface, a movable valve plug is arranged between the breathing interface and the atmosphere interface, and a gas path channel is formed between the edge of the movable valve plug and the inclined side wall. The application can accurately quantitatively control the size of impedance, so that the load of a patient in a training process is within a controllable range, the analysis and adjustment of a training plan of the patient are facilitated, the gas path channel can be adjusted and adapted according to the training intensity of the patient to obtain different impedance, the inspiratory muscle can be trained, and the expiratory muscle and the inspiratory muscle can be simultaneously trained in one breathing cycle.

The invention relates to the technical field of rehabilitation training, in particular to a double-leg buckling function rehabilitation device. Comprising a supporting table, a base plate, a backrest plate, guide rails, movable blocks, a limiting frame and the like, the base plate and the backrest plate are installed on the supporting table, the guide rails are symmetrically arranged on the supporting table, the movable blocks are arranged in the guide rails in a sliding mode, and the limiting frame used for containing the feet of a patient is rotatably installed on the movable blocks. The double-shaft motor drives the ejector rod to achieve passive flexion movement, and the device is suitable for an early postoperative stage or a patient with weak muscle force; meanwhile, the patient is supported to autonomously generate force to complete active buckling training, progressive resistance can be applied through a spring system to enhance the training intensity, passive training, active training and resistance training are integrated through the design, the patient does not need to replace equipment in the whole rehabilitation process, the equipment investment and management cost of a medical institution are effectively reduced, and the rehabilitation training efficiency is improved. And continuity and efficiency of rehabilitation training are improved.

The invention discloses an orthopedic postoperative rehabilitation training method based on biomechanical feedback. The method comprises the following steps: synchronously collecting joint kinematics, myoelectricity and plantar pressure multi-source data of a patient; performing time sequence alignment and noise suppression on the data; constructing an individualized biomechanical function evaluation model, and generating a dynamic score covering the joint motion range, the muscle symmetry, the gait stability and the load tolerance; the training intensity, the auxiliary support and the rest time are adjusted in a self-adaptive mode based on the deviation between the score and the stage target; voice with clinical semantics and visual feedback are generated; and the evaluation and regulation strategy is continuously optimized through the closed-loop learning module. According to the technical scheme, precision, individualization and intelligentization of rehabilitation training are achieved, the recovery efficiency is effectively improved, and the risk of secondary injury is reduced.

The utility model relates to the technical field of medical instruments, in particular to an ankle pump exercise training device which comprises a pedal plate, adjusting shafts are movably installed at the left end and the right end of the pedal plate in a penetrating mode, a connecting assembly is jointly movably installed between the two adjusting shafts in a penetrating mode, and an elastic assembly is movably connected to the front end of the connecting assembly. And the lower end of the elastic component is fixedly connected with the lower inner wall surface of the pedal plate. According to the ankle pump exercise training device, the angle between the connecting assembly and the pedal can be adjusted through the arranged adjusting shaft, the ankle pump exercise training device adapts to leg lengths and exercise requirements of different users, it is guaranteed that the optimal training effect can be achieved when the users conduct ankle pump exercise, and meanwhile the ankle pump exercise training device is convenient to use. A force adjusting knob in the elastic assembly can adjust the elastic force of the elastic belt according to the rehabilitation process and the physical condition of the user, the training intensity is gradually increased, and the muscle strength and the joint flexibility are improved.

The invention relates to the field of fitness equipment, in particular to fitness equipment for intelligently adjusting the training intensity of fitness personnel, which comprises a training intensity adjusting module for executing at least one training intensity adjusting action; the state monitoring module comprises at least two types of physiological parameter sensors and is used for collecting biological characteristic data of fitness personnel in real time; the intelligent adjusting system is in communication connection with the training intensity adjusting module and the state monitoring module and comprises a data processing unit adopting a multi-modal data fusion engine; dynamically adjusting the algorithm model, and adopting a reinforcement learning framework; and the executing mechanism drives the training intensity adjusting module to perform real-time adjustment according to the adjusting instruction. The technical problems that in the aspect of training intensity adjustment of existing fitness equipment, a fixed mode exists, the adjustment mode is extensive, and data processing is inaccurate and incomplete are solved.

The utility model discloses a grip strength trainer with a grip strength detection function, which comprises a grip strength frame, a movable grip is mounted on one side of an inner cavity of the grip strength frame, a grip strength detection mechanism is mounted on the other side of the inner cavity of the grip strength frame, and a spring part is mounted on one side, opposite to the grip strength detection mechanism, of the movable grip; the grip strength frame comprises a U-shaped frame, and connecting plates are fixedly connected to the left side and the right side of the U-shaped frame; the movable grip comprises a movable grip rod, the left side and the right side of the movable grip rod are fixedly connected with fixing plates, and the opposite sides of the fixing plates are fixedly connected with first mounting plates. The grip strength training device has the advantage of grip strength detection, and the problems that in the using process of an existing grip strength training device, grip strength of a user is inconvenient to detect, the user is difficult to determine proper training strength, if the resistance of a selected spring is too small, the strength can not be effectively improved possibly, and if the resistance is too large, muscles or joints can be injured possibly are solved.

The invention relates to the field of finger rehabilitation training, in particular to a finger rehabilitation training device. The finger rehabilitation training device comprises a palm fixing assembly, the palm fixing assembly comprises a side plate, a soft cushion is fixedly bonded to one side of the side plate, and the soft cushion is fixed to the palm in a binding mode in cooperation with a binding band; the two groups of rotating arms are symmetrically mounted on one side of the side plate, and each rotating arm comprises two first rotating plates which are arranged in parallel; the finger fixing assembly is installed between the two first rotating plates and comprises a plurality of ring frames used for allowing fingers to penetrate through; and the rotation adjusting mechanism is installed on one side of the side plate and further fixed to the first rotating plate. According to the finger rehabilitation training device, the rotation adjusting mechanism can drive the rotating arm to rotate so as to drive the fingers of the patient to rotate for training, meanwhile, the rotation angle of the rotating arm can be adjusted, the training intensity can be gradually increased according to the rehabilitation condition of the patient, and the rehabilitation speed of the patient is increased.

The invention provides an upper and lower limb stroke rehabilitation seat. The seat comprises a chassis, a mechanical arm, a telescopic rotating rod and a seat displacement device. The seat has the function of switching between an active mode and a passive mode and an upper and lower limb rehabilitation mode. When an upper and lower limb rehabilitation mode is selected, an upper air cushion of the mechanical arm is used for fixing a big arm and a thigh respectively, and a lower air cushion is used for fixing a small arm and a shank respectively; the passive mode is suitable for initial rehabilitation, and the active mode is suitable for advanced rehabilitation; the seat device adopts a hip radian seat surface, and displaces through a strong rope and a take-up reel system; the mechanical arms on the two sides are each provided with a telescopic rotating rod, transmission is achieved through double motors and bevel gears, a conveying belt is driven to control the movement amplitude of upper and lower limb joints, each mechanical arm is provided with a myoelectricity induction chip and a sliding rod induction assembly, data are collected in real time, and the training intensity is dynamically adjusted. And the matched APP provides a gamification interaction interface, synchronizes training data and generates a personalized scheme. By means of the device, the rehabilitation seat can improve the rehabilitation efficiency.

The invention discloses a fitness intensity self-adaptive adjusting method and system based on physiological data feedback, and relates to the technical field of medical rehabilitation. The method comprises the following steps: acquiring historical physiological limit data of a target rehabilitation user and an initial physiological state baseline of a current training period; calculating a dynamic safety intensity interval of the user individual; collecting physiological feedback data in real time in training, inputting the physiological feedback data into the stimulation efficiency evaluation network, and outputting an actual physiological load value and an effective stimulation coefficient of current training; calculating the recommendation intensity of the next training unit in the safety interval according to the effective stimulation coefficient and the rehabilitation progress function; and executing the recommendation intensity, updating the evaluation value based on a new round of physiological feedback data, and carrying out loop iteration until a training cycle target is reached. According to the invention, through dynamic safety boundary and intelligent closed-loop regulation and control, personalized and adaptive optimization of medical rehabilitation training intensity under safety guarantee is realized, and the safety and efficiency of training are improved.

The utility model belongs to cerebral hemorrhage rehabilitation training instrument field especially, and it is a kind of cerebral hemorrhage early rehabilitation training instrument.The technology includes support plate, and the support plate is hinged with backrest, and the support plate rear end is provided with adjusting assembly, and the support plate front end is connected with pedal through connecting band, and the pedal is hinged with handlebar, and the handlebar both ends are connected with backrest corresponding end through connecting rope, and the backrest front side is provided with clamping assembly.The utility model is provided with support plate and backrest, and it is convenient for patient to be half recumbent position and carry out sit-up training, and the adjusting assembly is provided, and it is convenient for adjusting the swing angle of backrest, to increase training intensity, and the connecting band and pedal are provided, to increase stability and can be assisted by arm, to make the completion degree of training higher and more relaxed, and finally the clamping assembly that avoids patient body to fall is provided, to reduce the arm assistance and increase waist and abdominal exercise while maintaining the stability of body when patient sit-up training.

The intelligent pressure control type gynecological postpartum pelvic floor muscle rehabilitation exercise device comprises an arranged machine body, and a headrest is installed on the right side of the top of the machine body; an electric push rod is installed in the middle of the machine body, and a waist support is fixed to the top of the electric push rod. A transverse groove is formed in the top of the left side of the machine body, a movable plate is connected into the transverse groove, and leg supports are symmetrically connected to the top of the movable plate; fixing rods are symmetrically installed in the movable plate, and the fixing rods are each sleeved with three cams at equal intervals. When the intelligent pressure control type postpartum pelvic floor muscle rehabilitation exercise device for the obstetrics and gynecology department is used, the waist and the legs can synchronously move, so that pelvic floor muscle groups can be sufficiently trained, the training intensity is gradually improved during training to control the training pressure to achieve the progressive training effect, and therefore a trainee cannot be hurt; during training, massage and air blowing are performed, so that fatigue, limp and numb, fever and sweating during training are relieved.

The application provides a trigger type wearable ultrasonic device and method, and relates to the technical field of medical imaging and rehabilitation engineering. The device comprises: an ultrasonic imaging module for generating an ultrasonic image of a target part; a training intensity monitoring module for monitoring rehabilitation training actions of a user in real time and generating a training intensity signal; a central processing and control module for generating an action type and a training intensity parameter according to the training intensity signal, generating an imaging trigger instruction according to a trigger condition, and synchronously and associatively storing the collected ultrasonic image and the training intensity parameter and the action type at the trigger time. Thus, the ultrasonic imaging is intelligently triggered through the training intensity signal, the system only works in an effective training period, thereby significantly reducing the power consumption of the system and prolonging the endurance time; and the multimodal synchronization and association of the ultrasonic image data and the training intensity parameter are realized, thereby providing an objective and fused data basis for the quantitative evaluation of rehabilitation effects and the accurate formulation of rehabilitation plans.

The utility model belongs to the technical field of knee joint postoperative rehabilitation training, particularly relates to a knee joint postoperative rehabilitation training device, and aims to solve the problems that the existing knee joint training effect depending on artificial assistance is unstable, and the traditional rehabilitation training device is complex in structure and cannot be flexibly adjusted according to the specific conditions of a patient. According to the technical scheme, the knee joint bending training device comprises a base, two supporting seats are symmetrically arranged at the top of the base, a shank supporting plate is driven by an electric air cylinder to swing back and forth, knee joint bending training is achieved, the training effect is stable, the training intensity can be adjusted according to the specific conditions of a patient, and matching of a threaded rod and a connecting pipe can be adjusted; the angle of the thigh supporting plate can be conveniently adjusted, so that the training requirements of different patients are met, the overall angle between the thigh supporting plate and the base and the overall angle between the shank supporting plate and the base can be adjusted at the same time through the worm and gear transmission mechanism, and the device can adapt to the patients with different heights and sitting postures.

The application discloses a non-contact vital sign monitoring method and system based on thermal infrared imaging, relates to the field of infrared imaging technology, and is used for solving the problem of how to effectively utilize temperature data of thermal infrared imaging and analyze training effects of different sports projects on each part of the body; the application quantitatively analyzes temperature difference, variance and mean value through an entropy method, and systematically evaluates temperature changes of each part before and after sports. The method can not only reflect training intensity and effects of each part of the body, but also recommend more targeted sports projects for users through sorting results; the scheme analyzes the correlation between temperature data and training indexes, constructs an evaluation model of sports project recommendation, and can optimize training schemes according to the influence degree of different sports on each part. The scheme solves the problems of lack of pertinence and scientific basis in traditional sports recommendation.

The utility model belongs to the technical field of rehabilitation equipment, and particularly relates to a grip strength trainer which comprises a three-way pipe. The left end connector and the right end connector of the three-way pipe are each provided with a connector, and each connector is provided with a flow channel hole penetrating left and right. A grip sleeve is arranged at the end, away from the three-way pipe, of each connector, the interior of each grip sleeve is communicated with the interior of the three-way pipe through a runner hole, and the grip sleeves are made of soft rubber materials; a top end interface of the three-way pipe is in threaded connection with a sealing cover; a mounting hole is formed in the outer side wall of each connector, a screw rod is in threaded connection with the interior of each mounting hole, and the screw rods can be used for adjusting the overflowing area of the runner holes. Patients in the department of cardiology can utilize the grip strength training device to train upper limbs after operation, so that blood circulation of the upper limbs is promoted, and myocardial contractility is enhanced; when a patient is trained, two hands respectively hold the two grip sleeves to alternately extrude the grip sleeves for finger grip training, the finger training interestingness can be enhanced, the finger training intensity can be adjusted, and the requirement for the finger training intensity can be met.

The invention provides a multi-mode biofeedback-guided training intensity adjusting method in the pelma rehabilitation process, and belongs to the technical field of biofeedback guidance. A pressure sensor and a surface electromyographic electrode are fixed to the pelma surface of a patient, and a pelma pressure distribution signal and a lower limb muscle group surface electromyographic signal are synchronously collected; filtering, denoising and rectifying preprocessing are carried out on the collected signals, a real-time biological feedback adjustment value and a training load adaptability evaluation parameter are calculated through an adaptive intensity adjustment model of a liquid neural network structure, and the training intensity is dynamically adjusted by adopting a gating weighting function according to an adjustment value interval; establishing a training intensity optimization equation set comprising a load distribution equation and a fatigue monitoring equation to calculate an optimal training parameter, and feeding back the adjusted intensity parameter to rehabilitation equipment to realize closed-loop adaptive adjustment. The technical problem that real-time self-adaptive training intensity adjustment based on multi-mode biological signals cannot be achieved in the sole rehabilitation training process is solved.

The invention relates to the technical field of rehabilitation training, in particular to a hand function evaluation training method and system based on multi-sensor fusion, and the method comprises the steps: obtaining electromyographic signals of a plurality of motor muscle groups, angles of a plurality of finger joints and grip strength of a patient in last training; fitting the electromyographic signals of each motion muscle group at multiple moments to obtain an electromyographic signal-time curve of each motion muscle group, and calculating the muscle group stability degree; calculating the finger joint stability degree according to the angles of the finger joints at the multiple moments; calculating a hand function evaluation coefficient; and correcting the training intensity of the patient in the last training according to the hand function evaluation coefficient to obtain the training intensity of the patient in the current training. The adjustment amplitude of the training intensity is determined through the evaluation result, the safety of hand function training of the patient is ensured, and the training efficiency is improved.

A respiratory function exercise device effectively solves the problems that an existing weight lifting device is prone to falling and has safety risks, and when training intensity is adjusted, a balance weight needs to be found, and operation is troublesome. Comprising an H-shaped mounting frame, mounting plates are fixed to the left side and the right side of the upper end of the mounting frame correspondingly, a plurality of mounting holes are formed in the mounting plates, moving grooves are formed in the left side and the right side of the mounting frame correspondingly, moving blocks are slidably connected into the moving grooves, and T-shaped vertical grooves with downward openings are formed in the two moving blocks correspondingly; a U-shaped weight lifting rod is slidably connected into the two vertical grooves, the rear sides of the two moving grooves are communicated through a transverse groove, the left side and the right side of the transverse groove are each slidably connected with a transverse rod, and friction blocks are fixed to the opposite ends of the two transverse rods respectively; the weight lifting rod is ingenious in structure, the initial state of the weight lifting rod can be adjusted according to the height of a patient, the comfort degree of the patient during weight lifting training is increased, upper limb muscles and respiratory muscles can be trained, the lung function is enhanced, disease recovery of the patient is facilitated, and practicability is high.

The present application relates to the technical field of cognitive impairment rehabilitation, in particular to a brain cognitive recovery training scheme analysis system and method for cognitive impairment, comprising five units of basic information acquisition, cognitive test execution, test report generation, norm updating and training scheme analysis, wherein the norm database is modeled in multiple dimensions according to age, educational background and medical history, a regional correction factor is introduced, data freshness is verified by means of blockchain storage, an adaptive sequence is generated for cognitive test, multi-modal data such as correct answer rate, touch screen trajectory and eye movement data are collected, time domain signal separation and denoising are performed, the training scheme analysis unit locates cognitive defects, matches the training module, monitors the brain electrical theta wave and P300 latency through biological feedback, dynamically adjusts the training intensity and frequency, promotes neural circuit reorganization and improves rehabilitation accuracy.

A police tire array training device belongs to the field of sports equipment, solves the problem that an existing police tire array is still insufficient in training strength and rhythm, and comprises a climbing frame, a swing device is fixed to the climbing frame and comprises a fixing seat, a swing seat is rotatably connected to the lower portion of the fixing seat, a first wheel is arranged on the fixing seat, and a second wheel is arranged on the first wheel. A power device is arranged on one side of the fixed seat and drives the swing seat and the second wheel to swing, when the motor rotates, the second wheel and the tire are driven to rotate, the rotating rod is also driven to rotate, and when the rotating rod rotates, the rotating rod and the swing seat are driven to swing up and down through the sliding block. The sliding blocks swing up and down to drive the tires to swing up and down, the tires rotate while swinging, the tires of the swinging devices swing and rotate disorderly, a trainee must adapt to changes of the positions of the tires at any time during training, and therefore the training intensity and rhythm are improved.

The invention discloses a pelvic floor muscle rehabilitation precise training and evaluation method fusing myoelectricity and posture recognition, and particularly relates to the technical field of intelligent rehabilitation, electromyographic signals and motion posture data are synchronously collected through a multi-channel sensor, and a personalized rehabilitation demand model is constructed after real-time filtering; the model can synchronously output a multi-dimensional user state vector representing the real-time physiological state of a user and a dynamic adjustment factor used for quantitatively adjusting the training intensity; training intensity and modes are automatically adjusted based on model output, and meanwhile real-time posture correction and power generation guidance are provided for the user through multi-mode interaction; recording and analyzing whole-course training data, generating an effect evaluation report and continuously optimizing a training scheme; closed-loop rehabilitation training from state sensing, intelligent decision making to accurate execution is achieved, and the problems that in traditional pelvic floor muscle rehabilitation training, the training effect is poor and evaluation is inaccurate due to the fact that individual differences are large and feedback is inaccurate are effectively solved.