105 results about "Motor function" patented technology

The invention provides a human body motor function decline risk prediction method based on multi-modal data evaluation. The method comprises the following steps: S1, collecting multi-modal data; s2, data preprocessing; s3, multi-dimensional feature extraction is carried out; s4, labeling and quantifying; s5, feature coding and fusion; s6, model training; s7, evaluating and verifying the model; and S8, outputting the model application. Through multi-modal data fusion and intelligent modeling, the defects in the prior art are effectively overcome.

The utility model discloses a joint torque measuring device, which comprises a base provided with a slide rail and used for bearing a force measuring unit and abutting against a static limb joint of a joint to be measured; the force measuring unit is mounted on the sliding rail in a sliding manner and is used for receiving and measuring the acting force of a movable limb joint of the joint to be measured; and the displacement measuring unit is arranged on the base and is used for measuring the displacement of the force measuring unit. The device can be used for measuring torques of joints of all positions of a human body, such as joints of upper and lower limbs or fingers, the muscle strength and motion function conditions of the joints can be evaluated only by adjusting the sizes of all parts of the device to be matched with the sizes of the corresponding joints and limbs, and basis is provided for formulation and adjustment of rehabilitation treatment when the device is applied to the rehabilitation treatment; accordingly, a corresponding rehabilitation training scheme is designed, and the patient is helped to recover muscle strength and motion functions.

The invention relates to a lower limb motor function recovery system and method based on a motor imagery brain-computer interface, and the system comprises a noninvasive electroencephalogram signal collection module which is used for collecting an electroencephalogram signal when a patient carries out a lower limb motor imagery task; the signal processing and intention recognition module is used for carrying out feature extraction and classification recognition on the collected electroencephalogram signals and outputting the motor imagery intention of the patient; the multi-sensory feedback module is used for providing multi-sensory feedback information including visual sense, auditory sense, tactile sense and proprioceptive sense for the patient; the lower limb rehabilitation training module is used for executing lower limb rehabilitation training actions corresponding to the motor imagery intention; the central control module is configured to receive the recognition result of the motor imagery intention and generate a control instruction according to the recognition result to drive the multi-sensory feedback module and the lower limb rehabilitation training module to work cooperatively. According to the system, a multi-sensory collaborative feedback mode is adopted to simulate multi-sensory interaction, and the identification degree and training compliance of a motor imagery task of a patient are improved.

The invention relates to a cognitive exercise rehabilitation training integration method based on multi-dimensional self-adaptive VR. The method comprises the following steps: presenting a three-dimensional rehabilitation scene through a head-mounted virtual reality device, synchronously collecting features of a patient, analyzing joint exercise data by using an exercise ability evaluation model, and generating exercise execution precision, fluency and stability indexes; electroencephalogram spectrum features are extracted through the cognitive load evaluation model, and a multi-dimensional rehabilitation feature vector is constructed in combination with task attention and cognitive resource allocation efficiency indexes output by the visual cognitive participation evaluation model; the training difficulty is dynamically adjusted based on the feature vectors, parameters are optimized in real time in the virtual scene, and the patient is made to be in the optimal challenge interval all the time; directional vibration stimulation is applied through the tactile feedback vest, three-dimensional sound field prompt is provided in cooperation with the spatial audio system, and a multi-sensory fusion closed-loop rehabilitation training system is formed. Cooperative training of cognition and movement functions is achieved, and individuation and adaptability of rehabilitation training are effectively improved.

The utility model relates to a toy moving device. A shooting toy comprises the toy moving device. On the toy moving device, the driving mechanism drives the moving seat to move relative to the shell and is matched with the guide piece to slide along the guide track, linear motion of a single driving source is converted into rotating motion of the connecting arm, the problem that the manufacturing cost is increased due to a traditional multi-driving-source structure is solved, and therefore balance of function expansion and cost control is achieved. Secondly, through the sliding fit between the guide piece and the guide track on the shell and the rotary connection structure of the connecting arm on the movable seat, the shielding / opening action of the trigger piece and the displacement of the movable seat form linkage, the problem of space occupation caused by an additional transmission mechanism is solved, and therefore the composite motion function is achieved in the limited space; therefore, while the compactness of the product is ensured, the trigger piece can move relative to the shell along with the movable seat on one hand, and can be shielded / opened by the rotating connecting arm on the other hand.

The invention discloses an application of a prebiotic component in enhancing athletic ability and improving athletic performance. The prebiotic component is xylooligosaccharide. Animal experiments show that mice given with xylooligosaccharide can significantly improve the abundance of probiotics and enhance the muscle strength, constant-speed endurance and other movement functions of the mice. The xylooligosaccharide serving as an efficient prebiotic can be specifically utilized by specific probiotics in intestinal tracts, the abundance of the xylooligosaccharide is remarkably improved, growth of pathogenic bacteria is inhibited, then the micro-ecological environment of the intestinal tracts is optimized, and the exercise function improvement phenomena such as increase of muscle strength and delay of fatigue in endurance exercise are shown in behavioral tests. The cross-organ integration regulation and control from the intestinal microecology to the whole body physiological state and then to the athletic performance is reflected, so that the xylooligosaccharide has important significance in enhancing the athletic ability and improving the athletic performance.

The clinical finger rehabilitation exerciser comprises a first bandage, first elastic ropes are fixedly connected to one side of the first bandage at equal intervals, and first finger sleeves are fixedly connected between the ends, away from the first bandage, of the first elastic ropes correspondingly; second elastic ropes are fixedly connected to the ends, away from the first elastic ropes, of the first finger sleeves at equal intervals, first finger sleeves are fixedly connected between the ends, away from the first finger sleeves, of the second elastic ropes correspondingly, and fixing blocks are fixedly connected to the tops of the first finger sleeves and the tops of the first finger sleeves correspondingly. A tension spring is fixedly connected between every two corresponding fixing blocks. The hand rehabilitation training device has the advantages that an effective hand rehabilitation training mode is provided for a patient through the tension effect of the tension spring, hand muscles and joints can be exercised in a targeted mode, the movement function of the hand muscles and joints is improved, meanwhile, the risk that the patient is injured in the training process is reduced through the protection design of the elastic cloth, and the training safety is guaranteed.

The application discloses a cistema brain-computer interface-minimally invasive whole brain nerve signal acquisition and closed-loop control system based on a cerebrospinal fluid channel and a method thereof. The system comprises a flexible cistema interface array, an ultra-wideband wireless energy and data synchronous transmission module, a nerve signal analysis and decoding module, a self-adaptive closed-loop control module and a system integrated control platform. The flexible cistema interface array is implanted in a cerebrospinal fluid cavity in a minimally invasive manner to acquire multi-brain region nerve signals; and the ultra-wideband transmission module realizes energy supply and high-speed bidirectional communication between an implanted body and an extracorporeal device. The application solves the problems of a large trauma, limited coverage and poor signal quality of an existing invasive interface, has the advantages of minimally invasive, wide area coverage, high signal quality and good integration, and is suitable for diagnosis and treatment of neurological diseases such as epilepsy suppression and post-stroke motor function reconstruction.

An experimental platform for implantable brain-computer interface of limited movement, comprising: a cooperative control module, which extracts the brain neuron signals of a limited rat through a microelectrode, pre-processes and extracts features of the neuron signals, analyzes and processes the movement information contained therein, converts the movement information into appropriate control instructions, and delivers the control instructions from Raspberry Pi to Arduino to control the corresponding actions of a machine rat made by the limited rat, so as to realize the movement control and sensing feedback between the limited rat and the machine rat; and an external control module, which is installed on the machine rat, and is used for carrying out epidural spinal cord electrical stimulation on the limited rat with partial movement function after incomplete spinal cord injury and combining with external equipment for rehabilitation training. The application can analyze and record the neuron signals of specific regions when the limited rat performs actions, which is helpful for in-depth analysis of the neuron activity characteristics and regulation mechanism of the limited rat.

This application relates to the fields of biomedical engineering and rehabilitation engineering technology, and discloses a functional electrical stimulation method and system based on physiological simulation and adaptive closed-loop feedback. The method includes: calculating an ideal muscle activation curve based on a target trajectory; performing spatiotemporal asynchronous co-coding to generate a biomimetic stimulation pulse sequence by simulating temporal asynchrony, spatial and intensity modulation, and multi-muscle synergistic timing; simultaneously applying stimulation while monitoring the actual kinematic state and muscle physiological state in real time using sensors; and dynamically adjusting the internal parameters of the spatiotemporal asynchronous co-coding (T-S-C coding) based on the evaluation results of trajectory error and fatigue index to form an adaptive closed loop. This application, by combining biomimetic coding with an intelligent closed loop, fundamentally solves the problems of motion stiffness, muscle fatigue, and poor control precision caused by traditional FES, achieving smooth, sustained, and precise personalized motor function rehabilitation.

The invention relates to the technical field of medical health technologies, in particular to a refined intervention system and method for cervical disc herniation of old people, and the system comprises a data collection module, a data analysis module, an intervention scheme making module and an intervention execution module. The data acquisition module is used for acquiring medical images, physiological indexes and symptom information; medical imaging equipment is adopted to obtain image data of the cervical vertebra of the elderly, and the form, position and protrusion degree of the cervical intervertebral disc and the compression condition of surrounding tissue are clearly displayed; physiological indexes of heart rate, blood pressure and oxyhemoglobin saturation of the elderly are collected in real time through a wearable device and a physiological monitoring instrument, and meanwhile, the motion range of the neck and muscle strength motion function data are recorded; the cervical vertebra condition is accurately evaluated according to the individual difference of the old people, fine intervention is achieved, the symptom of cervical disc herniation is effectively relieved, the complication risk is reduced, and the life self-care ability and life quality of the old people are improved.

The present application relates to a kind of rehabilitation effect evaluation method and system based on electroencephalogram electromyogram signal, belong to electroencephalogram electromyogram signal analysis processing field.Method includes: the multi-channel electroencephalogram signal and multi-channel electromyogram signal of rest period and imagination period are collected and analyzed, obtain the rehabilitation effect evaluation index based on electroencephalogram signal and based on electromyogram signal;The multi-channel electroencephalogram signal and multi-channel electromyogram signal of rest period and imagination period are fused, and brain muscle transmission information effectiveness analysis is carried out, obtain the rehabilitation effect evaluation index based on electroencephalogram electromyogram signal;According to rehabilitation effect evaluation index, the rehabilitation state and effect of patient are evaluated, obtain rehabilitation state and effect evaluation result.The present application method is processed by the multi-channel electroencephalogram electromyogram signal of rest period and imagination period, objective quantification analysis is carried out to the whole closed-loop neural circuit of motor function automatically, so that the evaluation efficiency is higher, and the rehabilitation state and rehabilitation effect evaluated are more comprehensive, accurate.

The present application relates to a rehabilitation system based on brain-computer interface (BCI) and functional electrical stimulation (FES) technology. Specifically, the present application relates to a system for detecting a user's exercise intention and promoting recovery of lower extremity functions through electrical stimulation according to same, and relates to a rehabilitation and assistance system for impaired persons suffering from paralysis or complete paralysis of the lower extremities. According to the present application, neural signals due to motor imagery of a user are analyzed in real time, and electrical stimulation is applied to a specific muscle group on the basis thereof to improve motor function.

The invention discloses an intelligent control method of a multifunctional lower limb rehabilitation training device. The device is provided with a plurality of training mechanisms; the mechanisms are respectively provided with a high-precision servo motor which is electrically connected with an electric control box, and the training modes comprise a passive training mode, an active training mode and a power-assisted training mode. The AI model can intelligently select a training mode, a rehabilitation training function and training parameters at proper time; after training is started, the AI model collects motor data, patient force exerting data and a control instruction in good time, training parameters are dynamically adjusted in good time according to the training condition of the patient, the patient is helped to complete actions, and exercise ability reconstruction is promoted; and the AI model monitors the operation of the equipment in the whole process. The method is a full-automatic intelligent control method capable of carrying out self-adaptive adjustment. The dynamic adaptability can promote rehabilitation of the patient more efficiently, the rehabilitation efficiency can be improved by 20%-30%, the patient can be supported to be gradually transited from passive training to assisted training and active training as soon as possible, and the requirements of different rehabilitation stages are met.

The present invention relates to the technical field of neural stimulation, and specifically relates to a non-invasive spinal cord stimulator for upper limb motor function recovery, comprising a cervical spinal cord pulse control unit, an electrode connection unit, a motion monitoring unit, a wireless communication unit, a speech unit, a paradigm decision unit, an electrode array unit, and an artificial intelligence unit. In the present invention, the non-invasive spinal cord stimulator acts on a specific cervical spinal cord segment by means of non-invasive cervical spinal cord stimulation technology, inducing the reconstruction of a spinal cord neural network, strengthening synaptic connection, treating upper limb motor dysfunction of paralyzed individuals, and achieving upper limb motor function recovery.

The application relates to the technical field of biological signal processing, and discloses a multi-modal physiological signal coupling analysis method, a system, a terminal and a storage medium. The method comprises the following steps: synchronously collecting multi-modal physiological signals of a subject when the subject performs a specific experimental paradigm; constructing a multi-modal dynamic causal model comprising a neuron dynamics model and an observation model corresponding to each signal; adopting a staged Bayesian inversion strategy to perform parameter estimation, fixing a first type of signal parameter to invert a second type of signal related parameter, fixing the inverted parameter to invert the first type of signal parameter, and obtaining a joint posterior distribution; and finally generating a biomarker of the subject based on the model parameters obtained through inversion. Through the staged inversion strategy, the technical problems of high computational complexity and unstable parameter estimation caused by the large time scale difference of multi-modal data and the large number of model parameters are effectively solved, and the biomarker can be generated and used for clinical motor function evaluation.

This application relates to the field of interdisciplinary technology, and in particular to a stroke rehabilitation training system based on a mixed reality digital human. The system includes: a data acquisition module configured to: acquire multimodal data of the subject performing standard movement tasks under the guidance of the rehabilitation therapist's digital human; the multimodal data includes: visual data, electromyographic data, and inertial data; perform perception and heterogeneous spatial registration on the multimodal data; and drive the subject's mirror digital human for synchronous display in real time; and a processing module configured to: identify the subject's movement intentions, assess upper limb motor function, detect compensatory movements, and assess lower limb motor function based on the multimodal data; and generate real-time prompts, visual feedback, and training reports, thus achieving an integrated closed loop of stroke rehabilitation training, functional assessment, and feedback adjustment. It is applicable to stroke rehabilitation training, functional grading assessment, and home-based continuous rehabilitation intervention.

The invention discloses an application of a prebiotic component in promoting muscle growth, enhancing muscle strength and improving exercise tolerance. The prebiotic component is galactooligosaccharide. Animal experiments show that mice given with galactooligosaccharide show motor function improvement phenomena such as muscle strength increase and fatigue delay in endurance movement in behavioral tests, and the phenomenon that fast muscle and slow muscle fiber components are increased at the same time; the cross-organ integration regulation effect from the intestinal microecology to the whole body physiological state and then to the athletic performance is reflected.

System and method for use in improving individual's motion ability are disclosed. A force applying device is used to apply a force to at least portion of the individual's body during an exercise performed by the individual. A sensing system monitors one or more training sessions of the exercise performed and selectively generate first measurement data comprising error-related data and second measurement data indicative of adaptive response of the individual to the force applied to the exercised body portion. A force controller can be used to manage operation of the force applying device according to operational data, such that the force being applied to the exercised body portion includes at least one of an interfering force segment or an assistive force segment, determined in accordance with a predetermined range of an error regulating profile.

The invention belongs to the technical field of biomedical signal processing, and particularly relates to a surface electromyogram signal-based upper limb movement function evaluation method for a stroke patient. The method comprises the steps of subject selection, electrode arrangement and signal acquisition, experimental normal form design, surface electromyographic signal preprocessing, macroscopic electromyographic feature extraction and microscopic electromyographic feature extraction. The method comprises the following steps: collecting surface electromyogram signals under a plurality of specific gestures, extracting eight macroscopic features and two microcosmic features, and constructing a model for Brunnstrom stage classification and upper limb Fugl-Meyer scoring prediction by using a K nearest neighbor algorithm; through systematic comparison of an affected side, an uninjured side and a healthy control group of a stroke patient, accurate quantification of the degree of stroke dyskinesia is realized, and objectivity, fineness and clinical practicability of evaluation are improved; manual evaluation deviation and time consumption can be greatly reduced, and an objective and real-time evaluation basis is provided for formulating a personalized rehabilitation scheme.

The invention discloses an outer limb robot self-adaptive impedance control method and system based on a motor function. According to the method, motion information and EMG / EEG multi-mode signals are collected, a motion intention is predicted through weighted stacking and nonlinear compensation, the weight is updated based on an admittance model, and a planning trajectory is learned iteratively; the motor function index is obtained by decomposing the electromyographic signal through a non-negative matrix, the damping and rigidity are dynamically adjusted through feed-forward-impedance double-loop control, and the system stability is verified through the passivity theory. According to the method, the self-adaptive response of the outer limb robot to the human body motor function change is realized, the accuracy and safety of man-machine interaction are improved, and the method is suitable for outer limb robot application scenes such as rehabilitation training and industrial assistance.

The application discloses a kind of cerebral apoplexy patient double lower limbs movement evaluation method and system, it is related to motor function evaluation technical field.A kind of cerebral apoplexy patient double lower limbs movement evaluation system, including have: task guide module, motion acquisition module, motion scoring module, interference evaluation module, trend analysis module, combination analysis module and result output module.The application is matched by constructing the scoring model based on population category characteristics, and motion ability score is carried out using machine learning algorithm or fixed weighting combination, and personalized evaluation is realized according to different patient population characteristics, to improve the generalization ability and prediction accuracy of scoring model;By introducing patient age, gender, movement grade and other characteristics for grouping modeling, and automatically switching scoring strategy according to sample quantity, the scoring mechanism also has reliability and clinical consistency in the limited data amount of home scene.

A glove heating piece is fixed in an interlayer of the inner face of a glove of the finger exercising device, an air bag is further fixed to the inner face of the glove, stretching and bending movement assemblies are fixed to the finger back areas of the outer faces of five fingers of the glove, and the five stretching and bending movement assemblies are connected with a six-way piece through air pipes and valves. An abduction and adduction movement assembly is fixed between every two adjacent fingers of the gloves, the four abduction and adduction movement assemblies are connected with a five-way piece through air pipes and valves, the air bag, the six-way piece and the five-way piece of each glove are connected with a four-way piece through air pipes and valves, and the four-way pieces of the two gloves are connected with a three-way piece through air pipes and valves. An air pump assembly is installed in the control box and connected with a three-way piece through an air pipe. According to the finger exercise device, by arranging multiple exercise assemblies, the exercise effect of the finger exercise function is comprehensively improved, and more comprehensive exercise function recovery training on the fingers of a patient is achieved.

The invention discloses an application of ACT001 in preparation of a medicine for treating osteoarthritis, the osteoarthritis is knee osteoarthritis, and ACT001 can effectively relieve inflammatory response related to knee osteoarthritis and has a protection effect on a knee joint cartilage structure, so that disease progression is delayed, motor function recovery is promoted, and the effect of treating osteoarthritis is achieved. The application can make up the defects in the field of current knee osteoarthritis drug treatment, provides a new treatment strategy for improving the joint function of a patient and improving the life quality, and has important clinical transformation value for patients with acute and chronic knee osteoarthritis.

The invention belongs to the technical field of medical image processing, provides a medical image-based computer-aided diagnosis method and system, and solves the problem of insufficient computer-aided diagnosis. The method comprises the following steps: collecting a brain diffusion tensor image of a target object and a surface electromyogram signal of an associated muscle group; converting the image into Riemannian manifold data through tensor resolving and symmetric positive definite matrix mapping; extracting a Hurst index of the electromyographic signal based on remarking range analysis, and generating a motion feature vector; using Riemannian logarithm mapping and canonical correlation analysis to project manifold data and motion features to a correlation space, and extracting a maximum correlation component to generate a coupling feature vector; determining a reconstruction site through Riemannian index mapping, and calculating a geodesic line length between the reconstruction site and the reference state point to obtain a deviation value; and quantitatively judging the nerve remodeling degree and the motor function level of the stroke patient according to the deviation value. According to the application, accurate quantitative evaluation of the stroke nerve remodeling and motion recovery state is realized.

The utility model discloses a multifunctional combined exercise fitness board, and relates to the field of fitness equipment, a transverse guide wheel is arranged in a track of the fitness board, lock beads are arranged at the front end and the rear end of a training rope, one lock bead is fixed in a clamping groove of the fitness board, and the other lock bead is fixed in a first lock groove in one side below two training sliding boards. The training rope is clamped in a second locking groove below the two training sliding plates, two training rope guide wheels are arranged in front of the training rope and limited through a positioning plate, connecting seats are integrally arranged on the two training sliding plates, and a combined locking device is arranged between the two connecting seats. By combining the flat plate supporting trainer with the body-building plate, the functions of pulling exercise of a pulling rope, parallel alternate advancing and retreating, parallel synchronous advancing and retreating abdominal exercise, parallel advancing and retreating abdominal exercise and push-up guiding exercise in flat plate supporting exercise can be completed, and exercise is easier; and the use requirements of different sporters are met.

The present disclosure provides a means for evaluating a state of a motor function of a patient who has or is suspected of having brain damage such as local brain damage.　The present disclosure relates to: a method for evaluating a state of a motor function of a patient who has or is suspected of having brain damage by using parameters obtained from a diffusion weighted image of the patient's brain; a program for executing the method in a computer; and an image processing device and an MRI device which can be used in practicing the method. According to the present disclosure, the motor function state of a patient who has or is suspected of having brain damage can be evaluated, and it is also possible to predict the recovery of the motor function after regeneration treatment. Accordingly, whether the patient is suitable for the regeneration treatment can be determined before the start of the treatment.

The invention relates to the technical field of limb training, and discloses a limb detection training tractor and a control method thereof.The limb detection training tractor comprises a fixed moving mechanism, a moving traction mechanism connected to the fixed moving mechanism, a traction adjusting mechanism connected to the moving traction mechanism and a detection structure arranged at the bottom end of the traction adjusting mechanism; the movable traction mechanism is connected to the bottom end of the detection structure, the flexible fixing mechanism is connected to the bottom end of the detection structure, and the movable traction mechanism comprises two L-shaped supporting frames, bottom cross rods fixed to the ends of the L-shaped supporting frames and first sliding blocks slidably connected to the bottom cross rods. Rehabilitation training requirements of different muscle groups and joints of limbs can be comprehensively covered, the rehabilitation training device is adaptive to various rehabilitation scenes such as upper limb lifting, abduction, front-back extension and lower limb flexion and extension, a patient is assisted to gradually recover normal limb movement functions, and comprehensiveness and pertinence of rehabilitation training are improved.

The invention relates to the technical field of exercise rehabilitation, and particularly discloses an evaluation method of an exercise rehabilitation device for coordination of upper and lower limbs. A corresponding preset upper and lower limb cooperation strategy is obtained by responding to a rehabilitation exercise item selected by a user, the device guides the user to execute the item and collects actual exercise data, a user action period is extracted from the user action period, actual key point positions are recognized, and the actual time sequence and space linkage relation between the actual key point positions is calculated. And comparing the actual relationship with the standard relationship, respectively generating time sequence and space coordination degree evaluation values, and comprehensively forming an upper and lower limb coordination comprehensive evaluation result. According to the method, self-adaptive matching based on the evaluation result is achieved, the collaborative strategy is matched and recommended from the strategy library by analyzing user deviation, auxiliary prompt content is dynamically adjusted, accurate linkage of evaluation and training is achieved, the defects that traditional rehabilitation evaluation is high in subjectivity and disjointed with specific tasks are effectively overcome, and the rehabilitation effect is improved. And core technical support is provided for personalized and intelligent exercise function rehabilitation.

The utility model provides a torsion mechanism of a body-building device, a body-building stool and a body-building chair, relates to the technical field of body-building equipment, and aims to solve the problems that in the prior art, a rotating stool is insufficient in motion freedom degree and lacks a centering function. The torsion mechanism of the body-building device comprises a vertical rod, an elastic piece and a mounting seat, and the bottom end of the vertical rod is connected with a ball joint; a ball seat matched with the ball joint is arranged on the mounting seat, the ball joint is rotatably mounted in the ball seat, the elastic part is arranged on the outer side of the ball seat, one end of the elastic part is connected with a bottom plate of the vertical rod, and the other end of the elastic part is connected with the mounting seat. The torsion mechanism of the fitness device can provide left-right torsion and swing multi-dimensional movement functions, the fitness effect is enhanced, and movement is more stable and safer due to the unique centering function and the proper rotation resistance design.