175 results about "Motor function" patented technology

The invention belongs to the technical field of medical instruments, and particularly relates to a spinal epidural ventral side double-wing-shaped stimulation electrode and motion function reconstruction system, the spinal epidural ventral side double-wing-shaped stimulation electrode and motion function reconstruction system comprises two wing panels, each wing panel comprises a flexible substrate, the flexible substrate is provided with two bifurcated preset-curvature double-wing structures; the electrode contact array is integrated on the flexible polar plate through a bonding pad; according to the double-wing-shaped flexible substrate, through a double-wing structure with a preset curvature, after being unfolded under the driving of a nickel-titanium alloy framework, the double-wing-shaped flexible substrate accurately covers a spinal cord ventral side and double-side anterior angle motor neuron pool, and the problem that a traditional single-piece / rod-shaped electrode can only cover a back side sensing area and cannot cover a back side sensing area is solved. The ventral motor neuron group cannot be directly activated; a stimulation target spot is transferred to a ventral functional core area from a dorsal non-target area for the first time, and the anatomical suitability bottleneck of motor function reconstruction is solved.

The invention discloses a method and a system for evaluating movement of two lower limbs of a stroke patient, and relates to the technical field of movement function evaluation. The invention discloses a stroke patient double-lower-limb movement evaluation system which comprises a task guide module, a movement acquisition module, a movement scoring module, an interference evaluation module, a trend analysis module, a combination analysis module and a result output module. According to the method, the scoring model based on crowd category feature matching is constructed, exercise ability scoring is performed by adopting a machine learning algorithm or a fixed weighted combination, personalized evaluation is realized according to the group features of different patients, and the generalization ability and prediction accuracy of the scoring model are improved; group modeling is carried out by introducing features such as patient age, gender and motion level, and a scoring strategy is automatically switched according to the number of samples, so that the scoring mechanism also has reliability and clinical consistency in a family scene with limited data volume.

The invention relates to the technical field of data processing, and discloses a gait rehabilitation evaluation method and system based on spatial-temporal characteristics of multi-modal data, a terminal and a storage medium, and the method comprises the steps: synchronously collecting myoelectricity, electroencephalogram and exoskeleton robot IMU signals of a dyskinesia crowd in a certain motion normal form in a specific period interval; a motion function scoring result of a doctor on a patient according to a scale is synchronously recorded, data preprocessing, channel selection and feature extraction are performed on myoelectricity, electroencephalogram and exoskeleton robot IMU signals, a model is established based on a neural network, motion evaluation is performed according to a fused feature array, and a motion function quantitative score is obtained; and the motion function state of the evaluated person is graded according to the score. According to the method, the multi-modal synchronous data rehabilitation evaluation model of the movement function of the dyskinesia crowd is constructed according to multiple information mining, and the movement function state of the evaluated person is rapidly evaluated, predicted and graded.

Disclosed in the present invention is a lower-limb-powered exoskeleton device for rehabilitation assistance, comprising ankle-joint sagittal-plane driving units, knee-joint sagittal-plane driving units, hip-joint sagittal-plane driving units, a hip-joint horizontal-plane driving unit, a joint driver connecting frame, a lower-limb fixing support, sensors, a controller and a power supply. Antagonistic-drive-type linear driving units are used in the sagittal plane of a hip joint so as to enable the bending and extension movements of the hip joint, and a linear driving unit having the function of self-locking when powered off is used in the horizontal plane of the hip joint so as to enable the turning movements of the exoskeleton; and a linear driving unit in cooperation with a magnetorheological brake is used in the sagittal plane of each knee joint, thereby significantly reducing the power consumption of a knee-joint driver while lowering the control difficulty. The powered exoskeleton device can help patients with an impaired lower-limb motor function to carry out walking rehabilitation training.

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 invention relates to the technical field of medical rehabilitation, in particular to a post-stroke upper limb function recovery training system combined with a vr technology, which comprises a fixed base, and a motor is fixedly connected to the center of an inner cavity of the fixed base. The upper limb rehabilitation training device has the advantages that the angle adjusting and rotating functions are achieved, a personalized training plan can be made according to the specific conditions of a patient, and therefore upper limb rehabilitation training of the patient is more effectively promoted; through cooperative use of a fixed base, a motor, a fixed column, a supporting rod, a fixed sleeve, a rotating rod, an adjusting rod, an electric push rod, a lifting block, a seat and a sliding rod, the rotating and angle adjusting functions of the seat can be achieved, it is ensured that a patient can obtain the best comfort degree and experience feeling in the training process, the angle is flexibly adjusted through the seat, and the training efficiency is improved. A patient can experience a more real training scene in an immersive manner, and the brain is stimulated to generate strong neural feedback, so that the movement function recovery of the upper limbs is effectively promoted.

The application discloses a rehabilitation robot control method based on multi-source information perception and electronic equipment, and the method comprises the following steps: acquiring upper limb modal signals of a patient without motor function, wherein the upper limb modal signals comprise electroencephalogram signals, and eye movement signals and / or electromyogram signals; for each kind of upper limb modal signal, using an intention recognition model to perform motor intention recognition on the upper limb modal signal to obtain a corresponding motor intention recognition result; acquiring a confidence degree corresponding to each kind of upper limb modal signal; determining the motor intention of the patient according to the motor intention recognition result corresponding to each kind of upper limb modal signal and the corresponding confidence degree; determining a motor control signal of an upper limb rehabilitation exoskeleton according to the motor intention; and controlling the upper limb rehabilitation exoskeleton to move according to the motor control signal. The application can improve the motor intention recognition accuracy of the patient without motor function in the upper limb rehabilitation training process.

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 provides an athlete action evaluation method and system, and belongs to the technical field of data analysis, and the method comprises the steps: determining a target athlete category and a benchmark action sample corresponding to the target athlete category based on the target body type data of a target athlete, the benchmarking action sample comprises motion function parameters and action data of the benchmarking athlete; determining motion function difference data based on the target motion function parameters of the target athlete and the motion function parameters of the benchmarking athlete; adjusting the initial motion change rate threshold value based on the motion function difference data to obtain a target motion change rate threshold value; acquiring target action data of the target athlete, and calculating an action change rate based on the target action data; determining a target key frame based on a size relationship between the action change rate and a target action change rate threshold; and determining an action evaluation result based on the action parameter corresponding to the target key frame and the action data of the benchmarking athlete. The accuracy of athlete action assessment can be 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 invention relates to a cranial nerve motor function evaluation system and method based on a terminal with a camera. The system comprises a camera used for collecting a high-definition video sequence of facial actions; the model is used for identifying positioning points of the face according to the high-definition video sequence acquired by the camera; the analysis and evaluation module is used for quantitatively evaluating the cranial nerve motor function state according to the change of the positioning points of the face acquired by the model; the analysis and evaluation module performs analysis and evaluation according to the change quantitative indexes of the positioning points of the face; the camera, the model and the analysis and evaluation module are all deployed at the terminal; and the model and the analysis and evaluation module are deployed in an operating system of the terminal. The evaluation system and method are deployed on a common terminal, and are used for collecting a video sequence of a user completing a standard evaluation action, automatically identifying the movement of a positioning point of a face, and outputting a quantitative score according to a medical standard so as to evaluate human face muscle movement and a cranial nerve function state.

The present invention addresses the problem of providing a medicine and a food composition for improving motor function. The present invention relates to a motor function improver comprising a combination of (a) one or more components selected from febuxostat and topiroxostat and (b) inosine.

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.

To provide a cognitive motor function evaluation device capable of appropriately evaluating a human cognitive motor function by considering a human internal model (prediction error reduction model).SOLUTION: A cognitive motor function evaluation device 20 is provided with an ergometer 21, a monitor 22, and a control unit 23 having physical motor function evaluating means 54 and cognitive function evaluating means 55, and evaluates the cognitive function of a subject by the cognitive function evaluating means 55 after the evaluation of the physical motor function of the subject by the physical motor function evaluating means 54 exceeds a prescribed level. The physical motor function is evaluated based on the difference between a speed of a simulation vehicle by the operation of a pedal part 32 of the ergometer 21 and a target speed, and the cognitive function is evaluated based on the difference between a vehicle locus 41B by the operation of a handle part 33 of the ergometer 21 and a target locus 41A.SELECTED DRAWING: Figure 5

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 present application relates to a kind of anterior cervical dynamic fixation plate, including first bone plate and second bone plate, first bone plate and second bone plate can be limit expansion and limit rotation and nested connection between, first bone plate corresponds the end of second bone plate and is equipped with connecting plate, both sides of connecting plate are respectively equipped with lug, second bone plate inside is equipped with the cavity of accommodating connecting plate, both sides of cavity are respectively equipped with limit sliding slot, connecting plate can limit rotation and be set in cavity inside and the lug can limit sliding and be covered in limit sliding slot, first bone plate and second bone plate are opened on the each cervical vertebra segment of corresponding patient anterior cervical fixed and have fixed hole.The present application can be based on guaranteeing cervical vertebra fixed segment stability, realize that cervical vertebra fixed segment has a certain range of expansion and lateral bending activity, while it can also avoid excessive activity, it is favorable to reduce postoperative complication, and it is favorable to the reservation of cervical vertebra motor function.

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.

The present invention provides a therapeutic drug for frailty or muscular dystrophy, and particularly for sarcopenia, and a medicinal drug for improving motor function. The present invention provides a motor function improver that contains a compound represented by general formula (I) or a pharmaceutically acceptable salt thereof and additionally contains an ATP precursor substance or is used in combination with an ATP precursor substance. The ATP precursor substance is preferably inosine, inosinic acid, or hypoxanthine. This motor function improver is preferably used as a medicinal drug and is used as a therapy or preventive for frailty and sarcopenia and as a therapy or preventive for muscle wasting and muscle loss.

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.

To propose effective rehabilitation, and improve the quality of the rehabilitation by evaluating a motor function of a person to be evaluated easily.SOLUTION: An information processing device includes: a moving image acquisition unit for acquiring a moving image for evaluation capturing a whole body of a person to be evaluated who performs a standing-sitting motion from a seated state; a moving image processing unit for estimating a key point of the body including a center of gravity of the person to be evaluated shown in the moving image for evaluation using the moving image for evaluation, performing inference to divide motion phases at least into a first phase, which is a standing-phase, and a second phase, which is a sitting phase, of the standing-sitting motion using a temporal change of the key point, and calculating a phase period from the start to the end of the motion phase; and an evaluation unit for generating an evaluation result on the motion of the person to be evaluated using the center of gravity and the key points including two or more key points of the superior limb region and including two or more key points of the inferior limb region.SELECTED DRAWING: Figure 2

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 present invention relates to a neuromodulation / neurostimulation system (100) for restoring motor function of an upper limb and / or a lower limb of a patient (P) suffering from spinal cord injury (SCI) and / or other neurological conditions and promoting neurological restoration, the system (100) comprising: a processing unit (10) configured and adapted to provide stimulation commands; an implantable or external stimulation unit (12) configured and adapted to deliver neuromodulation therapy, in particular electrical epidural stimulation (EES), to the dorsal root of the spinal cord (SC) of the patient (P); at least one implantable or external pulse generator (14), the at least one implantable or external pulse generator being operatively connected to the stimulation unit (12); an implantable neural sensor (16), the implantable neural sensor comprising an electronic component configured and adapted to detect a cerebral electrocorticogram (ECoG) signal representing a motor intent of the patient (P) from a sensory motor cortex (C) of the patient (P), wherein the processing unit (10), the stimulation unit (12) and the implantable neural sensor (16) are operatively connected to define a cerebrospinal cord interface (BSI), and wherein the processing unit (10) is configured and adapted to: preferably collect the ECoG signals from the sensory motor cortex (C) in real time and decode the ECoG signals into corresponding motor intent of the patient (P); the decoded motion intent is converted, preferably in real time, into a corresponding stimulation command, and the stimulation command is forwarded, preferably in real time, to the at least one pulse generator (14).

An activity monitoring device may provide data indicating one or more activities performed by a user. The wearable device may send the data to another computing device. An interface may be used to display the data. One or more display characteristics associated with the interface may be determined based on a location of the activity monitoring device.

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.