161 results about "Hand functions" patented technology

The invention discloses a glove with a touch sensing function and a dexterous hand, and the glove comprises a glove body, and a plurality of sensor modules and a controller module which are regularly arranged on the glove body; the plurality of sensor modules are regularly arranged on the front surfaces of the palm part, the finger belly part and the fingertip part of the glove body, and the controller module is regularly arranged on the back surface of the palm part of the glove body. The glove is small, light, convenient to carry and suitable for being used in any occasions, the glove body is made of double-layer fabric, devices are all made of flexible materials, and a patient wears the glove comfortably. The glove integrates various sensors, has the function of detecting lateral force, normal force and temperature, can identify various signals of materials, pressure, temperature and the like of a contact object, has important significance on athlete hand function training research, patient rehabilitation training evaluation and the like, and is also suitable for achieving the tactile perception function after a robot dexterous hand is worn.

The invention discloses a hand function rehabilitation closed-loop training system based on a multi-dimensional evaluation model, and relates to the technical field of hand rehabilitation, a data set acquisition module collects key physiological parameters such as a joint pressure coupling coefficient, and quantifies the biomechanical relevance between joint movement and pressure distribution; the LSTM neural network synchronously generates an action completion degree score and a joint pressure coupling coefficient prediction value, and dual functions of rehabilitation quality evaluation and abnormity early warning are realized; a confidence index is generated based on a feature consistency factor of a score fluctuation standard deviation and a prediction-actual measurement deviation, and the credibility of an evaluation result is accurately identified; switching response modes in real time according to a confidence level grading interval, and dynamically adjusting training difficulty and auxiliary force parameters; a confidence quantitative model and a rehabilitation strategy engine are deeply coupled to form an'evaluation-verification-regulation 'integrated framework, so that the rehabilitation safety and effectiveness are remarkably improved.

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 stroke hand rehabilitation training method based on multi-modal data fusion, particularly relates to the field of hand rehabilitation training, and is used for solving the problems that in the existing rehabilitation process, the motion solidification risk cannot be recognized, and the training scheme is lack of individualized dynamic adjustment. According to the method, hand joint motion features are obtained by constructing a standardized hand function micro-evaluation task, and a personal motion mode baseline is established in combination with dynamic time warping and multi-scale permutation entropy analysis; extracting a neural motion curing index based on the difference change between the current motion mode and the optimal motion mode, and analyzing and generating a function recovery momentum feature by combining the rehabilitation progress gradient and the acceleration inflection point; and fusing the electromyographic signal coupling coordination index to generate a rehabilitation risk score, and when the risk exceeds a dynamic threshold value, triggering adaptive recombination of a training strategy to realize accurate early warning and personalized training regulation and control. Rehabilitation monitoring precision and training pertinence can be effectively improved, and high-quality recovery of stroke hand functions is promoted.

The invention provides intelligent wrist and hand function training equipment for old people at home, and relates to the technical field of training equipment for old people. The intelligent wrist and hand function training equipment for the old at home comprises a fixing plate and a silica gel plate, a connecting box is fixedly connected to the upper end of the fixing plate, a movement assembly is arranged in the connecting box, a detection assembly is arranged at the joint of the fixing plate and the silica gel plate, and the movement assembly comprises a connecting frame; an auxiliary assembly is arranged at the front end of the moving assembly, a soft sleeve is arranged outside the auxiliary assembly, and first rotating shafts are rotationally connected to the middles of the front ends of the inner walls of the two sides of the connecting frame. According to the intelligent wrist and hand function training equipment for the old people at home, when the old people do hand movement, a silica gel plate drives a fixed disc to synchronously move, a reset spring is compressed through a second fixed block, so that a first fixed block transmits a dynamic pressure signal to a pressure sensor, and the signal is processed by a control display panel.

The utility model discloses a leather glove processing sewing machine with a hand pressing prevention function, and relates to the technical field of sewing machines, the leather glove processing sewing machine comprises an adjusting mechanism, the adjusting mechanism comprises a working table, a collecting groove is formed in one side of the top of the working table in a penetrating mode, a knob is arranged on one side of the working table, a lead screw is arranged in a clamping groove formed in the working table, and a clamping groove is formed in the other side of the working table; a bearing seat is arranged at the end, away from the rotary knob, of the lead screw, two moving blocks are arranged outside the lead screw, and sliding blocks are arranged on the two sides of the two moving blocks. The adjusting piece is rotated clockwise to drive the pressing plate to press downwards, the leather gloves laid on the placing table can be pressed and fixed, the situation that the hands of an operator hold the leather gloves is avoided, the risk that the hands are crushed by a needle head is reduced, the screw rod is driven to rotate by rotating the rotary knob, and then the leather gloves on the placing table can move synchronously, so that the safety of the operator is improved. The purpose of sewing the leather gloves is achieved.

The invention discloses a children hand function rehabilitation system based on game interaction, relates to the technical field of rehabilitation training systems, and aims to provide personalized and dynamically adjusted rehabilitation treatment for children by combining deep learning, virtual reality, multi-modal perception feedback and cloud platform technologies. The system comprises a data acquisition module, an action analysis and recognition module, a game task generation module, a virtual reality module, a feedback and evaluation module and a data synchronization and remote monitoring module. By collecting the hand motion data of the child in real time and utilizing the deep learning model to analyze and generate the hand motion feature vector, the system can automatically adjust the difficulty of a game task according to the rehabilitation progress of the child, and stimulate the child to actively participate in treatment through a multi-mode feedback mechanism. And the reinforcement learning algorithm evaluates the task completion condition of the child in real time. The system has the advantages of high intelligence, individuation, real-time feedback and dynamic adjustment, and the rehabilitation treatment effect and treatment enthusiasm of children can be remarkably improved.

The invention discloses a brain-computer interface-based hand function rehabilitation auxiliary training method, which belongs to the technical field of rehabilitation training, and specifically comprises the following steps of: acquiring an original electroencephalogram signal of hand action of a patient, and synchronously recording an actual movement track of a healthy side hand; separating the original electroencephalogram signal into an action intention signal and an action control signal; activating a mirror image hand model in the virtual training scene based on the action intention signal, and mapping the action control signal into a three-dimensional motion parameter; dynamically correcting the joint movement range of the mirror image hand model according to the actual movement track of the uninjured side hand, and generating virtual hand actions matched with the physiological features of the patient; extracting track key point coordinates of the mirror image action and a joint angle change sequence, and converting the track key point coordinates and the joint angle change sequence into a driving instruction of affected side exoskeleton equipment; the exoskeleton resistance change is fed back to the virtual training scene in real time, and the motion damping of the mirror image hand model is adjusted; according to the invention, personalized precise assistance of hand function rehabilitation training is realized, and the adaptability and effectiveness of training are improved.

The invention relates to the technical field of health monitoring, in particular to a rheumatoid arthritis patient hand function rehabilitation effect evaluation system in combination with a BCW theory, and the system comprises a behavior analysis module, a capability extraction module, an opportunity evaluation module, an effect analysis module and a stage optimization module. According to the method, the hand track and task records are collected, the execution rate and the duration are extracted and subjected to normalization fitting, a dynamic behavior portrait is constructed, principal component extraction is conducted in combination with the flexion and extension angle and the electromyographic signals, high-weight capacity characteristics are generated, the time difference between triggering and reaction of the device is monitored, the response delay change rate is calculated, and the task time is compared; according to the method, the relation between external stimulation and capability activation is revealed, behavior, capability and response characteristics are fused to construct an effect curved surface, the stability and gradient direction are analyzed, rehabilitation effect three-dimensional quantification and progress trend presentation are achieved, differentiated rehabilitation paths are adapted, and evaluation precision and regulation and control capability are improved.

The present invention relates to the technical field of hand function rehabilitation training, and discloses a glove for hand rehabilitation training and a coil inductor for hand rehabilitation training. The glove comprises: a glove body; a coil inductor assembly, which is arranged on the glove body, and the inductive reactance of the coil inductor assembly can change with the change of the degree of flexion and extension when the glove body performs flexion and extension movements; a signal processing box, which is connected to the coil inductor assembly, and the signal processing box is used to provide a working signal for the coil inductor assembly and can output a sensing signal that changes with the change of the inductive reactance of the coil inductor assembly. The embodiment of the present invention can provide more accurate flexion and extension degree information during hand training by adopting a coil inductor, which is conducive to improving the effect of hand rehabilitation training; and it is low in cost and easy to implement, which is conducive to popularization and application.

The utility model discloses a hand rehabilitation training exoskeleton, and relates to the technical field of exoskeletons. According to the hand rehabilitation training exoskeleton, the ends of the palm shells are connected with the joints in a supporting mode through supporting sleeves, and the supporting sleeves are connected with an air conveying device in a communicating mode. The carpal joint is connected with the palm shell through a supporting sleeve, the other end of the carpal joint is connected with the metacarpal joint or the finger joint through the supporting sleeve, and the other end of the metacarpal joint is connected with the finger joint through the supporting sleeve. The problems that in the prior art, the size is large, flexibility is poor, operation is complex and the like are solved, and the requirements for precise assistance and natural training are difficult to meet. According to the hand rehabilitation training exoskeleton, the exoskeleton and the pneumatic technology design are combined, the lightweight design and the intelligent control technology are combined, the hand rehabilitation training exoskeleton aims at assisting a hand dysfunction patient in scientific rehabilitation training, and the hand rehabilitation training exoskeleton is suitable for stroke, brain injury, joint diseases or postoperative hand function recovery. Natural assistance and scientific rehabilitation of hand movement are achieved, and an efficient and safe hand function recovery means is provided for a patient.

The invention discloses an auxiliary rehabilitation training device for hand functions of a stroke patient. The auxiliary rehabilitation training device comprises a fixing module, a training module, an acquisition module and a control module, the training module is arranged on the fixing module, and the acquisition module is connected with the control module; the acquisition module and the control module are connected with the computer; the fixing module comprises a bottom plate, the surface of the bottom plate is concave downwards to form a hand-shaped groove matched with the shape of a human hand, and the hand-shaped groove comprises a palm groove and five divergent finger grooves; the finger grooves are in a divergent shape, namely, the finger grooves simulate the state that fingers are opened and extend outwards. The training content is rich, comprehensive and particularly effective finger function training can be provided, and it is guaranteed that a trainee recovers early; the device is suitable for a stroke patient with serious dyskinesia, and helps the patient to perform active rehabilitation training; the electroencephalogram collector collects electroencephalogram signals of a patient and judges the motion intention of the patient, and the computer transmits a motion instruction to the controller in real time; and the control signal is transmitted to the controller.

1. The name of the design product: hand function rehabilitation instrument. 2. The use of the design product: hand function rehabilitation instrument. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Holding device (1) for a functional aid (10) for people with limited hand function, comprising a hand clamp (2) with a clamping device (4) arranged on the hand clamp (2), characterized in that a guide rail (3) is arranged on the hand clamp (2), via which the clamping device (4) can be slidably fixed by means of a positioning device (5).

The invention discloses a self-adaptive training parameter adjusting method for a hand rehabilitation exoskeleton, and relates to the technical field of rehabilitation medical instruments, and the method comprises the specific steps: deploying a multi-modal sensing system to synchronously collect full-dimensional original signals of a patient, and building a healthy hand motion rhythm feature library; a plurality of indexes are obtained through preprocessing and feature quantitative analysis; judging conflicts and types through intention-conflict decoding; constructing a self-adaptive parameter adjustment model, and executing a flexible solution strategy; a closed-loop adjustment period is set, all the steps are executed circularly, scene parameter adjustment is completed, and advanced rehabilitation training is implemented; according to the method, a comprehensive and accurate patient state sensing system is constructed, the intention and ability matching state is accurately judged, adaptive training parameters are generated, training risks are avoided, safety and adaptability are improved, a closed-loop adjustment mechanism is further constructed, scene-based and advanced training is combined, training is dynamically adjusted, the enthusiasm of a patient is aroused, hand function recovery is accelerated, and the patient experience is improved. The rehabilitation effect and efficiency are improved.

The utility model relates to the technical field of rehabilitation training devices, in particular to a pneumatic hand function rehabilitation training device which comprises a plurality of annular separation air bags, a plurality of interval air bags corresponding to the separation air bags and an inflation air bag. The air pressure is kept consistent in the separation air bag and the interval air bag, and the separation air bag is wound on the corresponding inner wall of the supporting trainer; the separation airbags expand in response to the extruded state of the corresponding interval airbags, the interval airbags expand in response to the extruded state of the inflatable airbags, and the controller inflates the inflatable airbags in response to air pressure reduction of the inflatable airbags. Compared with the prior art, the hand rehabilitation training device has the advantages that the multiple air bags which are communicated with one another are arranged, fingers are separated according to actions of the hand, rehabilitation training of the hand can be achieved only by controlling contraction and expansion of the air bags to be matched with the finger ring assembly, and the rehabilitation training effect when the hand is in the holding posture can be effectively improved.

The utility model discloses a hand function exercise device relates to hand exercise device technical field, including support plate, and the bottom of support plate is provided with fixed establishment, and support plate is provided with tensioning mechanism, and tensioning mechanism includes moving plate, and moving plate fixedly connected in the one side of support plate away from fixed establishment, and the threaded connection of adjusting bolt has on moving plate, and the threaded connection has horizontal plate at the top of adjusting bolt, and the limit slot is seted up on support plate, and moving plate is fixedly connected on support plate through the bolt across limit slot. Advantageous effects lie in: the vertical height of limiting plate can be adjusted when the adjusting bolt of the device rotates, and the stretching stroke of main spring is changed, so that the resistance size when other four fingers are in the grip action is adjusted to exercise the initiative function of hand; press the side of horizontal plate away from main spring, and the other side of horizontal plate will rise, so as to drive the finger of the front finger sleeve to rise, and the coil spring in the rotating shaft will reset after the horizontal plate is loosened, thereby the passive function exercise of hand is carried out.

The utility model discloses a hand function rehabilitation exercise device which comprises a bottom plate, an exercise table is fixedly connected to the upper side of the bottom plate, a lifting device is arranged on the inner side of the exercise table, an arm placing table is fixedly connected to the upper side of the exercise table, and a mounting frame is fixedly connected to the upper side of the exercise table. Two upper elastic ropes are fixedly connected to the lower side of the mounting frame, a finger fixing plate is fixedly connected to one ends of the two upper elastic ropes, five finger holes are formed in the inner side of the finger fixing plate, a plurality of lower elastic ropes are fixedly connected to the lower side of the finger fixing plate, and a connecting block is fixedly connected to one end of each lower elastic rope. Compared with the prior art, the hand function rehabilitation exercise device has the advantage that fingers of a patient can be automatically exercised.

The invention relates to the technical field of hand function rehabilitation evaluation, in particular to a finger strength rehabilitation evaluation method and system, and the method comprises the steps that multiple sets of grasping training data of a patient are obtained, and one set of grasping training data comprises grip strength data of the patient at multiple moments during one-time grasping training; constructing a grip strength-time matrix; calculating a mahalanobis distance between each row of elements in the grip strength-time matrix and the grip strength-time matrix; judging whether each group of target training data is valid data or not; and calculating an evaluation coefficient, and adding a rehabilitation label to the patient when the evaluation coefficient is greater than a preset evaluation threshold value. According to the method, the accuracy of an evaluation result is improved by reducing data errors caused by non-standard actions or accidental factors.

The invention provides a hand function rehabilitation training system and method integrating multi-sensory feedback and virtual-real interaction, and belongs to the field of rehabilitation medical instruments and the technical field of virtual reality. The system comprises a wearable rehabilitation manipulator end, a virtual interaction end and a multi-sensory feedback end; the wearable rehabilitation manipulator end comprises a manipulator exoskeleton, a myoelectricity recognition module and a control module; the virtual interaction end generates a rehabilitation training action instruction and a virtual task scene, and guides a patient to execute a rehabilitation training task; and when the multi-sensory feedback end and the virtual interaction end perform task interaction, a multi-modal feedback chain of somatosensory, visual and tactile sense is synchronously triggered. According to the hand function rehabilitation training system and method integrating multi-sensory feedback and virtual-real interaction, the problems that an existing rehabilitation training system is high in passivity, single in feedback and high in delay are 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.

The utility model discloses a flexion and extension tendon training device which comprises a palm wrapping shell, two reset springs and a forearm wrapping shell, the two sides of the palm wrapping shell are connected with one ends of the two reset springs respectively, and the two sides of the forearm wrapping shell are connected with the other ends of the two reset springs respectively. A thumb wrapping shell which is integrally formed is arranged on a shell body of the palm wrapping shell, a first hook-and-loop fastener block and a first hook-and-loop fastener belt which is used in cooperation with the first hook-and-loop fastener block are arranged on the outer side of the thumb wrapping shell, and a second hook-and-loop fastener block and a second hook-and-loop fastener belt which is used in cooperation with the second hook-and-loop fastener block are arranged on the outer side of the palm wrapping shell. A third hook-and-loop fastener block and a third hook-and-loop fastener belt used in cooperation with the third hook-and-loop fastener block are arranged on the outer side of the forearm wrapping shell. According to the technical scheme, passive flexion and extension activities of a patient are achieved, the condition of tendon adhesion after an extensor tendon repair operation is effectively relieved, and the patient with extensor and flexor tendon injury is helped to quickly and conveniently complete hand function recovery after the operation.

The invention relates to a method for evaluating the hand function state of a stroke patient, and belongs to the field of stroke, the method combines a Fugle-Meyer motion function evaluation scale and doctor suggestions, determines nine standard hand actions for evaluation, accurately obtains the three-dimensional coordinates of 21 key points of the hand of the patient by adopting a Mediape algorithm, provides an accurate data basis for evaluation, and improves the accuracy of the evaluation. According to the characteristics of each hand action, the geometric features with the highest distinguishing degree for healthy or sick states are selected as evaluation indexes, including angles and distances, and the hand function states of different rehabilitation levels can be stably distinguished. In the evaluation process, a weighted average method is adopted, reasonable weights are given to different fingers, the difference between healthy and affected hands is highlighted, the evaluation accuracy is further improved, meanwhile, a particle swarm optimization (PSO) algorithm is introduced to achieve automatic selection of a threshold value, subjectivity and uncertainty of manually setting the threshold value are avoided, and the evaluation accuracy is improved. And the evaluation result is more scientific and reasonable.

The utility model relates to the technical field of neurology, in particular to a patient hand function exerciser which comprises a protection assembly, a hand function exerciser body and a hand function exerciser body, the protection assembly is composed of a glove and a protection pad, and the protection pad is arranged on the inner wall of the glove; the resistance exercise assembly is composed of a sleeve shell, an elastic rope, a protective shell, a fixing block, a first magnetic attraction ring, a second magnetic attraction ring and an elastic ball. According to the patient hand function exerciser, through the arrangement of a sleeve shell, an elastic rope, a protective shell, a fixing block, a first magnetic attraction ring, a second magnetic attraction ring and an elastic ball, when the patient hand function exerciser is used, the second magnetic attraction ring and the first magnetic attraction ring fixed to the elastic ball are mutually attracted and fixed, a user bends fingers to press the elastic ball, and the elastic rope fixed to the sleeve shell can be bent during bending; the protective shell is used for protecting the elastic rope, the fixing block is used for fixing the elastic rope, the elastic rope provides certain resistance, the resistance of hand exercise can be guaranteed when a user presses the elastic ball, and the exercise effect is improved.

The invention relates to the technical field of rehabilitation instruments, and provides a quick-release fingerstall and a rehabilitation training manipulator, the quick-release fingerstall is used for being mounted on a pneumatic finger flexion and extension piece of the rehabilitation training manipulator, and the quick-release fingerstall comprises a flexible fingerstall and a fingerstall connecting piece. The flexible fingerstall is used for being worn on a finger; the fingerstall connecting piece is mounted on the flexible fingerstall, and the fingerstall connecting piece is detachably connected with the pneumatic finger flexion and extension piece, so that the flexible fingerstall is detachably mounted on the pneumatic finger flexion and extension piece. The flexible fingerstalls are detachably installed on the pneumatic finger bending and stretching parts through the fingerstall connecting parts so that the flexible fingerstalls of different sizes can be flexibly replaced according to the finger sizes of different patients, wearing is more comfortable, the problem that a uniform-size glove is too tight or too loose is fundamentally solved, the mechanical efficiency of grabbing and stretching action training is improved, and the training effect is good. Therefore, the direct effect of rehabilitation training is remarkably enhanced, the hand function can be recovered more quickly, and in addition, only the flexible fingerstalls are replaced, so that the cost is greatly reduced.

The invention relates to the technical field of intelligent rehabilitation equipment, in particular to an evaluation training method and system based on a hand function combination evaluation training board. The method comprises the following steps: acquiring real-time data of a multi-modal sensor array on a hand function combination evaluation training board according to a personalized training task generated by a patient; preprocessing the real-time data, and extracting key performance characteristics representing the hand movement quality of the patient from the real-time data; inputting the key performance characteristics into a preset artificial intelligence evaluation model to obtain a quantitative evaluation score corresponding to the clinical rehabilitation scale; and according to a comparison result of the quantitative evaluation score and a preset performance threshold value, performing adaptive adjustment on the difficulty parameter of the next round of training task. According to the scheme, the objectivity, efficiency and individuation level of rehabilitation are remarkably improved.

This invention relates to the field of hand function rehabilitation assessment technology, specifically a method and system for assessing finger strength rehabilitation. The method includes: obtaining multiple sets of grasping training data from a patient, where each set of grasping training data includes grip strength data at multiple moments during a single grasping training session; constructing a grip strength-time matrix; calculating the Mahalanobis distance between each row element of the grip strength-time matrix and the matrix itself; determining whether each set of target training data is valid; calculating an assessment coefficient; and adding a rehabilitation label to the patient when the assessment coefficient exceeds a preset assessment threshold. This invention improves the accuracy of assessment results by reducing data errors caused by improper movements or accidental factors.

An intelligent planar rehabilitation device that integrates upper limb and hand functions includes a base pad and an upper limb rehabilitation component. The upper limb rehabilitation component includes an arm training base and a training glove. The arm training base is suitable for moving on the base pad. The training glove is mounted on the arm training base. The arm training base is suitable for placing the user's arm, and the training glove is suitable for being placed on the user's hand. The rehabilitation device can perform rehabilitation training on the patient's fingers while performing arm rehabilitation training. The device is easy to carry, so patients can use the device to perform upper limb rehabilitation training even without going to the hospital, making upper limb rehabilitation training a family-friendly and home-based experience, which brings great convenience to patients.

The application provides an electromyogram muscle strength prediction method suitable for hand function rehabilitation training of children with cerebral palsy, and specifically comprises the following steps: constructing a muscle strength prediction source domain network model, and using an electromyogram muscle strength database to train and test the model; proposing a gesture set and a synchronous acquisition scheme of electromyogram signals and muscle strength signals of each gesture according to the rehabilitation training requirements of children with cerebral palsy; collecting electromyogram and muscle strength data generated when healthy children perform each gesture action, optimizing the muscle strength prediction source domain network model by using a transfer learning method, and obtaining a specific muscle strength prediction model for each gesture; collecting electromyogram signals and muscle strength signals of children with cerebral palsy during rehabilitation training of different gestures, realizing muscle strength prediction by using the specific muscle strength prediction model, and evaluating the completion effect of rehabilitation gestures of children with cerebral palsy according to the error between the predicted value and the actual value. The method is conducive to formulating a specific rehabilitation scheme and evaluating the rehabilitation treatment effect by clinicians, and better promotes the rehabilitation treatment of children with cerebral palsy.

The invention provides a hand rehabilitation training control system and method, and relates to the technical field of rehabilitation medicine. The system comprises a client, a main control unit, a power mechanism and a plurality of training suites, the client is used for determining a target training function, generating a training instruction according to the target training function and issuing the training instruction to the main control unit, and the training instruction is used for indicating a target training suite corresponding to the target training function; and the main control unit is used for controlling the power mechanism to rotate according to the training instruction so as to drive the target training suite to execute the training action. According to the rehabilitation training device, the multiple training suites can share one main control unit and one power mechanism, the equipment complexity and cost are reduced, different training suites can execute different training actions, the training requirements of multiple parts such as hand, wrist and forearm training are met, personalized and precise rehabilitation training tasks are completed, and the rehabilitation training efficiency is improved. The problem that an existing hand function rehabilitation training device cannot meet comprehensive and systematic hand function rehabilitation requirements is solved.