126 results about "Upper limb exercises" patented technology

The invention discloses a brain-computer interface upper limb motion recovery training system, and relates to the technical field of upper limb motion recovery training, the brain-computer interface upper limb motion recovery training system comprises a multi-modal neural signal acquisition module, a combined regulation and control module and a rehabilitation exoskeleton module, the multi-modal neural signal acquisition module is connected with the combined regulation and control module through a wireless Bluetooth protocol, and the combined regulation and control module is connected with the rehabilitation exoskeleton module. The combined regulation and control module is connected with the rehabilitation exoskeleton module through a CAN bus, and the combined regulation and control module is used for synchronously processing fNIRS blood flow signals, tDCS nerve regulation and control parameters and EEG electrophysiological characteristics and generating a closed-loop feedback instruction. By installing the signal fusion unit and the intention analysis unit, time-space complementary fusion of EEG and fNIRS signals is realized, the problem of low precision of traditional single-mode intention recognition is solved, and the motion intention decoding accuracy is improved.

The invention discloses a multi-link collaborative evaluation and feedback system for upper limb rehabilitation training, and belongs to the technical field of medical rehabilitation, and the system comprises a data collection module which is used for obtaining the related data of the upper limb of a patient in the rehabilitation training process, and the related data comprises the motion posture, the muscle activity condition and the joint activity degree; the data processing module responds to the data acquisition module and is used for preprocessing the acquired related data, including filtering and denoising the related data, acquiring feature information in the preprocessed related data and sending the feature information to the data acquisition module; the feature information comprises movement tracks of joints, contraction intensity and time of muscles and coordination of upper limb movement. Multi-dimensional data such as action postures, muscle movement conditions and joint movement ranges in upper limb rehabilitation training are collected, preprocessing and feature extraction are carried out through the data processing module, the upper limb rehabilitation condition of a patient can be comprehensively and accurately evaluated, and a basis is provided for formulating a personalized rehabilitation scheme.

The invention relates to the technical field of power assisting equipment, in particular to an unmanned aerial vehicle operated upper limb power assisting exoskeleton which comprises an exoskeleton body, a main control device and a myoelectricity sensor. The exoskeleton body comprises a shoulder rest assembly matched with the shoulder and the back and arm assemblies matched with the arms, the two sides of the shoulder rest assembly are each provided with one arm assembly, and the two arm assemblies are connected through a first flexible connecting piece. The arm assembly is provided with a myoelectricity sensor, and signals of the myoelectricity sensor and rocker thrust signals of an unmanned aerial vehicle remote controller are transmitted to the master control device. The first fixing part and the second fixing part of the arm assembly are connected through the driving piece, the main control device can control the driving piece to drive the two to rotate relatively, and the rotating winding mechanism of the shoulder support assembly winds or releases the first connecting piece. The exoskeleton can accurately recognize operation intentions, cooperate with upper limb movement to provide targeted assistance, effectively relieve shoulder and elbow muscle loads, reduce arm shaking, delay fatigue and improve the control stability and operation durability of the unmanned aerial vehicle, and is suitable for long-time operation scenes such as electric power inspection and surveying and mapping.

A real-time automated method to diagnose and / or detect stroke and engage the patient, care-takers, emergency medical system and stroke neurologists in the management of this condition includes the steps of continuously measuring natural limb activity, conveying the measurements to a cloud based real-time data processing system, identifying patient specific alert conditions, and determining solutions for acting upon needs of the patient. The system by which the method is implemented includes at least one body worn sensor continuously measuring natural limb activity and a patient worn data transmission device conveying the measurements to a cloud based real-time data processing system that identifies patient specific alert conditions and determines solutions for acting upon needs of the patient. In an example solution, motion data that reflects upper limb movements of a user is received from one or more sensors, specific changes in user movement are determined by estimating several quantitative signal features, and the results are input into a machine learning model to detect if the user's movements reflect a change due to the occurrence of a stroke. The quantitative features and the machine learning model determine the degree of motor deficit induced by a stroke as reflected by changes in time-series measures of signal magnitude, variability, complexity, and interrelation. The solution operates in two distinct modes, one by continuously monitoring subject activity and the second by evaluating short duration data segments when the subject is performing prescribed movement tasks. In both modes the solution detects if the user has suffered a stroke and estimates a motor deficit score to determine the severity of the stroke.

The invention discloses an upper limb robot rehabilitation training control method based on electromyographic signals, and relates to the technical field of rehabilitation medical treatment, and the method comprises the following steps: collecting electromyographic signals of a human body upper limb target muscle group in different action modes, and constructing an electromyographic signal feature library, screening an electromyographic signal matched with the rehabilitation training action from an electromyographic signal feature library and marking the electromyographic signal as a training trigger signal; extracting a signal effective value, a spectrum feature and an action correlation degree of the training trigger signals, judging whether feature enhancement processing needs to be performed on the at least two groups of training trigger signals according to the signal effective value and the spectrum feature, and marking the corresponding training trigger signals as control instruction generation signals; acquiring an upper limb movement track parameter corresponding to the control instruction generation signal; the method has the advantages that quantitative analysis of the electromyographic signals can reflect the neuromuscular function state of a patient in real time, objective data support is provided for training scheme adjustment, and training scientificity and repeatability are improved.

The present invention relates to the field of medical rehabilitation, and specifically discloses an upper limb cranial nerve rehabilitation training system and training method. The upper limb training control system includes: an information acquisition module that collects historical trainee upper limb motion trajectory information and upper limb training parameters based on a multidimensional sensor; a virtual reality and human-computer interaction module that displays a training virtual reality scene based on a trainee's head-mounted display, and controls a robot to drive the trainee's upper limb to perform motion based on the training virtual reality scene and controls the trainee's head-mounted speaker to feed back the robot training information; a trajectory tracking module that obtains the trainee's upper limb training feedback after human-computer interaction in real time, and tracks and follows the upper limb training movement trajectory in real time; a warning analysis module that analyzes the tracking results of the upper limb training movement trajectory and receives the trainee's upper limb training feedback and warnings; and a feedback module that adjusts the trainee's upper limb motion trajectory information based on the upper limb training feedback and updates a three-dimensional trajectory model.

The invention relates to an upper limb multi-joint training device, and belongs to the technical field of rehabilitation medical instruments. The device comprises a main motion platform, a driven execution terminal and a connecting mechanism, the main motion platform is a multi-degree-of-freedom industrial mechanical arm and is used for driving the upper limbs of a user to complete three-dimensional space compound motion of shoulder and elbow joints; the connecting mechanism is arranged between the tail end of the main motion platform and the driven execution terminal and is used for detachably mounting the driven execution terminal at the tail end of the main motion platform; the driven execution terminal comprises three rotating joints which are sequentially connected in series, and the three rotating joints respectively provide a rotating degree of freedom to correspondingly realize the flexion and extension movement of the wrist joint, the radial ulnar deviation movement and the pronation and supination movement of the forearm. According to the invention, large-range collaborative movement of shoulder and elbow joints and full-degree-of-freedom refined training of wrist joints can be realized at the same time, comprehensiveness of rehabilitation training is improved, and the device is suitable for clinical rehabilitation training of patients with upper limb movement dysfunction.

The application discloses a kind of upper limb movement evaluation method and upper limb movement evaluation system of stroke patient, former includes: the video when the two sides of stroke patient upper limb successively complete predetermined movement process is collected;The target that the two sides of upper limb complete predetermined movement process is, the movement track formed along the vertical midline of stroke patient is axisymmetric;Extract skeletal key point data in video;Skeletal key point data characterizes the position information of each skeletal key point of stroke patient upper limb at corresponding moment;Based on the feature difference of two sides of skeletal key point data in predetermined movement process, determine the NIHSS score of stroke patient, obtain upper limb movement evaluation result.The present application utilizes computer vision technology, can realize to upper limb movement objective, automatic detection, improve evaluation objectivity and standardization degree, can real-time detection and analysis, improve evaluation efficiency, can provide timely data support for doctor, help to formulate individualized rehabilitation plan and adjust treatment scheme.

The invention discloses a flexible shoulder rehabilitation exoskeleton based on a pneumatic folding driver, and the flexible shoulder rehabilitation exoskeleton comprises a trunk module, a shoulder module, a connecting assembly, a flexible folding pneumatic driving module, a multi-mode sensing module and a control terminal. By introducing the design of alternating internal folding and external folding, geometric dislocation between the driver and the joint axis is effectively compensated, and continuous high output torque is provided. The control system recognizes the motion intention of a user by collecting surface electromyogram signals and inertia measurement data through threshold judgment logic, and adjusts an electromagnetic proportional valve through a PID algorithm in combination with feedback of an air pressure sensor to achieve closed-loop accurate control over air pressure. The device has the advantages of light weight, high wearing comfort and excellent mechanical transparency, muscle load in rehabilitation training can be remarkably reduced, and the device is suitable for daily assistance and rehabilitation training of patients suffering from upper limb dyskinesia.

1. The name of the design product: music boxing target (WT-030). 2. The use of the design product: for upper limb exercise and boxing training. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application relates to a shoulder rehabilitation auxiliary exoskeleton device which comprises a wearing assembly, an upper limb fixing assembly, an upper limb movement supporting assembly and a passive power output assembly; the upper limb fixing assembly comprises an upper arm fixing piece and a rocker arm; the upper limb movement supporting assembly comprises a connecting rod, a first mounting bracket and a first rotary disc; the passive power output assembly comprises a first shell, an elastic traction rope, a pull rope, a guide wheel and a second rotary disc; the connecting rod connects the wearing assembly and the first mounting bracket; the first rotary disc is rotationally connected to the first mounting bracket; the two ends of the rocker arm are respectively connected to the first rotary disc and the upper arm fixing piece; the guide wheel is arranged on the second rotary disc; the two ends of the elastic traction rope are fixedly connected, and the elastic traction rope passes through the guide wheel; one end of the pull rope is fixedly connected to the second rotary disc, and the other end of the pull rope is fixedly connected to the first rotary disc after passing out of the first shell. The elastic traction rope is adopted, metal parts are reduced, and adjustable auxiliary torque can be provided while reducing weight.

The invention relates to the technical field of training instruments, in particular to an intelligent heart rehabilitation training assisting device which comprises a supporting frame, a first supporting rod is fixedly connected to the top of the supporting frame, a second supporting rod is fixedly connected to the right side of the supporting frame, and a cushion is fixedly connected to the upper end of the second supporting rod. A lower limb exercise mechanism is arranged in the supporting frame, an upper limb exercise mechanism is arranged in the first supporting rod, and a linkage assembly is arranged between the lower limb exercise mechanism and the upper limb exercise mechanism. Through the arrangement of the linkage assembly, the exercise requirement is small in the initial rehabilitation stage of a patient, lantern rings at the positions of connecting ropes can be connected to clamping grooves of a handle and a pedal in a sleeving mode, combined training is achieved between the lower limb exercise mechanism and the upper limb exercise mechanism, physical output is reduced, and therefore the more effective recovery effect is achieved on rehabilitation training of the heart of the patient; by arranging the adjusting assembly, the resistance is increased, the exercise amount is increased, and the exercise intensity of the patient is adjusted.

The invention discloses a BCI method and system based on EOG autonomous rehabilitation, and the method comprises the steps: constructing a graphical user interface comprising button flickering visual clues and corresponding upper limb motion types, enabling all buttons to flicker circularly according to a set time interval, and enabling a user to select a target motion function through synchronous blinking and then stop flickering; the method comprises the following steps: acquiring an EOG signal when a user blinking through a wearable BCI device, and synchronously marking a motion type corresponding to button flickering to form motion intention information; a decision control unit is optimized based on the threshold parameter obtained in the calibration stage, EOG signal features are extracted by using the optimized decision control unit, and a blinking event corresponding to button blinking is detected; a target button function is recognized according to the blink detection result, and a control instruction corresponding to upper limb rehabilitation exercise is generated and sent to the lower computer; the lower computer receives the instruction, drives the motor to execute rehabilitation actions, and assists the user in completing upper limb joint and muscle function training.

The utility model provides an upper limb auxiliary unit and an upper limb auxiliary device, and belongs to the technical field of medical auxiliary equipment. The first supporting plate is provided with a second rotating part, and the first supporting plate can be rotatably connected with the first rotating part of the fixing plate through the second rotating part; the power element is arranged between the side portion of the fixing plate and the side portion of the first supporting plate, the fixing plate is connected with the first supporting plate through the power element, and the power element can drive the first supporting plate to rotate relative to the fixing plate. The upper limb rehabilitation device has the advantages that the power element can drive the first supporting plate to rotate relative to the fixing plate so as to spontaneously drive the upper limbs of a patient to move, the upper limbs can be autonomously moved without help of other people, and upper limb rehabilitation is accelerated.

1. Name of this design product: Music Boxing Target (HJ‑888). 2. Purpose of this design product: for upper limb exercise and boxing training. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

This invention discloses a novel multi-sensory upper limb motion measurement system, comprising a soft felt garment (10), a motion measurement subsystem (12), and a sensory measurement subsystem (13) that respectively acquire multi-modal signals of motion and perception and transmit them to a multi-modal signal processing module (14) for amplification and filtering; a wireless signal concentrator (15) collects data from the multi-modal signal processing module (14); a computer client (16) integrates the multi-modal signals to construct an upper limb motion perception state information system, including an upper limb motion calculation model (11) and real-time multi-sensory information; the upper limb motion calculation model (11) calculates the data signals to form a motion model with real-time position coordinate data of each joint. This invention provides simple, accurate, and comprehensive real-time support for upper limb motion monitoring, which can effectively improve the accuracy and comprehensiveness of upper limb motion data acquisition and analysis in fields such as virtual reality interaction.

This utility model discloses an upper limb rehabilitation training device, relating to the field of medical device technology, including a worktable, a traction component, and a support frame. The traction component includes a first link, a second link, a third link, a fourth link, and a slider. The slider is movably mounted on the worktable. One end of the first link is fixedly connected to the slider, and the other end is rotatably connected to the second link. The fourth link is rotatably mounted on the worktable and rotatably connected to the third link, as are the second and third links. The support frame is located at the connection between the second and third links and is used by the patient to place the affected limb. This upper limb rehabilitation training device, through the traction of the first, second, third, and fourth links and the slider to move the support frame, can achieve diversified movement trajectories of the support frame, more accurately simulating human upper limb movements, and the operation is more stable, improving the safety and comfort of rehabilitation training.

The utility model relates to the technical field of sports protectors. The arm guard comprises an arm guard body, tightening mechanisms are installed at the two ends of the arm guard body, a protection mechanism is installed at the upper end of the outer wall of the arm guard body, each tightening mechanism comprises a tightening cavity, a first through hole, a tightening belt and a pasting belt, the tightening cavities are formed in the two ends of the arm guard body, and the first through hole is formed in the first through hole. The first through hole is formed in one side of the outer wall of the arm guard body, one end of the tightening belt is fixedly connected with an inner cavity of the tightening cavity, and one end of the pasting belt is fixedly connected with the outer wall of the arm guard body. The tightening belt is pulled to enable the other end of the winding belt to drive the two ends of the arm guard body to be tightened according to the arm shape of a person, the tightening belt and the sticking belt are fixed through the hook-and-loop fastener, the arm guard body is prevented from moving when the person moves, and it is guaranteed that the arm guard body protects the upper limbs of the person.

This invention discloses an intelligent upper limb motor rehabilitation device and its method, belonging to the field of rehabilitation device design. The device includes a motor training module and a functional electrical stimulation module. The motor training module includes a permanent magnet synchronous motor and its drive and transmission systems. The drive system can perform torque control, speed control, and position control on the permanent magnet synchronous motor. The transmission system is a worm gear structure, achieving the effects of deceleration and torque increase. This upper limb motor rehabilitation device has multiple training modes, which can exercise upper limb muscle strength, improve joint range of motion, and evaluate the torque applied by the user, assess muscle strength, and detect spasticity through a method based on a fully connected neural network. Furthermore, combined with the functional electrical stimulation module, it can electrically stimulate and activate relevant muscles based on the user's force application range. Compared to large rehabilitation training devices in hospitals, this device has a compact structure, rich functions, and is more suitable for everyday home use, reducing the workload of doctors and improving rehabilitation efficiency.

The invention discloses lumbar nerve recovery equipment for neurosurgery, and relates to the technical field of lumbar nerve recovery equipment, the lumbar nerve recovery equipment comprises a circular base, a seat plate, an arc-shaped backrest, a first arc-shaped mounting block, a second arc-shaped mounting block, an L-shaped operating rod and an operating handle, the seat plate is movably arranged above the circular base, and the arc-shaped backrest is fixedly arranged at the right part of the upper end of the seat plate; two first arc-shaped mounting blocks are slidably arranged on the lower portion of the left side wall of the arc-shaped backrest, and two second arc-shaped mounting blocks are slidably arranged on the upper portion of the left side wall of the arc-shaped backrest. The first moving mechanism and the second moving mechanism can drive the two first arc-shaped mounting blocks and the two second arc-shaped mounting blocks to move in opposite directions on the lower back of the patient respectively, and the lumbar vertebra nerve recovery effect is good.

The utility model belongs to the technical field of rehabilitation training, and particularly relates to a rehabilitation training device which comprises a bottom plate, a sliding rail is fixedly connected to the top of the bottom plate, an adjustable seat assembly is installed on the outer wall of the sliding rail, an upper limb training assembly is arranged on the top of the adjustable seat assembly, and a lower limb training assembly is arranged on the side of the adjustable seat assembly. The upper limb exercise assembly comprises a bottom supporting shell, a second bearing is fixedly connected to the interior of the bottom supporting shell, a first threaded rod is fixedly connected to the interior of the second bearing, a sliding block is rotatably connected to the top of the first threaded rod, and a first worm wheel is fixedly connected to the first threaded rod; the side of the first worm gear is engaged with a first worm; the structural strength and reliability of the device are guaranteed, the safety is improved, potential safety hazards caused by the unstable structure are reduced, the device can be circularly lifted through a servo motor, and automatic training can be better conducted on a patient in the initial stage.

1. Name of the design product: human exoskeleton. 2. Use of the design product: for guiding the movement of human upper limbs. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

A through hole is formed in one side of a training table, a training mechanism is mounted on the other side of the training table, a mounting frame is mounted on the training table, two pulley pieces are mounted on the mounting frame at intervals in the width direction of the training table, a pull rope is arranged outside the two pulley pieces, and the pull rope is connected with the through hole. The two ends of the pull rope are parallel to the length direction of the training table, the two arc-shaped plates are installed at the two ends of the pull rope respectively, and the two grips are installed on the two arc-shaped plates respectively; the guide assembly comprises a guide sliding rail and a guide block, the guide sliding rail is parallel to the length direction of the training table, the top of the guide block is connected with the bottom of the arc-shaped plate, the bottom of the guide block slides on the guide sliding rail, and the arc-shaped plate is close to or away from the through hole on the guide sliding rail in the length direction of the training table. According to the technical scheme, the special guide assembly is arranged, so that a user can move in the length direction of the training table when doing upper limb movement, shaking is not likely to happen, movement is more stable, and therefore the training effect is better achieved.

The utility model discloses a novel upper limb movement function rehabilitation machine, and relates to the technical field of medical instruments. A display screen is arranged on the right side of the placement table; a control box is arranged at the upper end of the placement table; a large arm fixing base is arranged at the upper end of the control box; a rotating block I is arranged on one side of the control box; when the device receives a wrist joint movement instruction, the rotating motor operates and drives the first gear to rotate, the first gear drives the second gear to rotate, the hand of a patient holds the handle, and therefore auxiliary movement of the wrist of the patient is achieved, the handle is suitable for right arm rehabilitation movement when rotating clockwise, and the handle is suitable for left arm rehabilitation movement when moving anticlockwise. The patient can be helped to perform rehabilitation training, and the rehabilitation process is accelerated.

The utility model provides a kind of exercise equipment for nerve limb rehabilitation training, including frame, the rear middle part of the frame is fixedly installed with lifting mechanism, the front of the lifting mechanism is fixedly installed with clamping mechanism, treadmill frame is fixedly installed in the inner bottom of the frame, the inner side of the frame is rotatably connected with treadmill conveyor belt, the inner bottom of the frame both sides of front end is fixedly installed with upper limb exercise mechanism, the equipment adopts lifting mechanism, and clamping mechanism height can be accurately adjusted, and different patient needs are adapted, and stable support is provided for standing and auxiliary walking training;Treadmill frame and treadmill conveyor belt combination, help patient to recover lower limb strength;Upper limb exercise mechanism passes through telescopic spring and triangular handrail, supports diversification upper limb rehabilitation training, and multiple mechanisms work cooperatively, realize hand and leg simultaneous exercise, break through the single function limitation of traditional equipment, significantly improve rehabilitation training efficiency and effect, greatly enhance the practicality of rehabilitation treatment equipment.

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 invention discloses a stroke patient upper limb motion scoring system, method and device for a bedridden evaluation scene, and relates to the field of NIHSS scoring, and the system comprises the steps that a multi-modal data acquisition module collects video optical flow data and inertial motion data; the feature extraction module performs feature extraction to obtain a visual modal representation vector and an action modal representation vector; the feature fusion module adopts a CrossAttention attention mechanism to carry out cross calculation on attention so as to obtain fused visual features and fused action features; the scoring and uncertainty prediction module is combined with an Evidenal Deep Learning framework and a Dempster-Shafer evidence fusion theory, so that an upper limb movement scoring value and a corresponding confidence interval are determined. Visual and inertial motion data are effectively fused, the limitation of a single mode is overcome, and accurate evaluation of the upper limb motion function in a bedridden scene is achieved.

Disclosed is a twisting posture training aid for sports, including: an inertia-direction marker arrangement; a torso twist optical pointing arrangement which includes a banding arrangement, a first optical pointer, and a first pivot, such that when the user is at address, the torso marker corresponding to the inertia direction is projected onto the operation plane; an upper limb motion optical pointing arrangement which includes a fastener arrangement, a second optical pointer, and a second pivot, such that when the user is at address, the upper limb marker corresponding to the inertia direction is projected onto the operation plane.

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.