36 results about "Upper limb rehabilitation" patented technology

The application relates to the technical field of rehabilitation, in particular to an upper limb rehabilitation training device which comprises a sleeve, an air bag fixedly connected to the inner side of the sleeve, an air pump communicated with the air bag, fixed ends and movable ends respectively at the two ends of the sleeve, a box body fixedly connected to the outer side of the fixed end of the sleeve, a receiving cavity and a control cavity separated by a partition plate in the box body, a receiving opening formed in the side wall of the receiving cavity, a motor fixedly connected to the inner side wall of the receiving cavity, a reel coaxially fixedly connected to the output shaft of the motor, a connecting rod fixedly connected to the side wall of the reel, and the movable end of the sleeve fixedly connected to the side wall of the connecting rod; a controller arranged in the control cavity, and a probe assembly embedded in the inner side of the sleeve. The sleeve is automatically wound and unwound to replace the traditional magic tape fixing, the air bag pressure is automatically adjusted in cooperation with the controller, the probe assembly is integrated to realize real-time monitoring of arterial blood flow, the problems of traditional pressurized sleeves, such as complicated wearing, easy hooking and displacement, and low pressure control precision, are solved, and the single-person convenient wearing, stable and accurate blood flow restriction training is realized.

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.

1. Name of the product in this design: Upper Limb Rehabilitation Therapy Device. 2. Purpose of this design: This design is intended to improve voluntary movement ability and prevent muscle atrophy in affected limbs. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention relates to the field of rehabilitation assessment technology, specifically to an upper limb rehabilitation assessment platform and method based on computer vision and the MYO armband. In this invention, an isolated forest is used to perform sparse scoring on the periodic feature vector composed of the mean angle, electromyographic delay, and trajectory fluctuation difference to identify abnormal segments, improving the accuracy of locating repetitive abnormal movements. The graph structure integrates the electromyographic activation difference and mutation trend between nodes, and uses a graph neural network to process the connection sequence of jumping nodes and inter-frame structural changes to obtain the trajectory of multi-node state changes, enhancing the structural expression ability of temporal mutations and electromyographic activation linkage. The number of angle reversals, peak acceleration, and electromyographic fluctuation amplitude are extracted segmentally and then concatenated to form a fusion feature table. The normalized feature values ​​are mapped to level labels using an interval matching method, establishing a traceable feature index path between the segmented behavioral structure and the level output, improving the stage-specific recognizability of the rehabilitation state and the granularity of the output expression.

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 utility model discloses a kind of upper limb rehabilitation appliance devices, it is related to the field of rehabilitation medical technology, including support frame and regulation and control frame, the top of the support frame is symmetrically fixed with two positioning frames;In the utility model, the position of cushion is regulated according to need, the height of regulation and control frame and its upper part is adjusted by two positioning frames, so that the height of different users is conveniently adapted to arm span, and the height of regulation and control frame is quickly limited by rotating fixed screw and being clamped into the inside of slot, the fixed frame is close to hanging plate by horizontal movement clamping seat, then the two hooks on hanging plate are butt jointed with fixed frame manually, can be sat on cushion, two grips are used to stretch clamping seat, and the user's upper limb is exercised by the reset action of two springs three, the model of vertical plate and spring three can be replaced according to the need of user strength, so as to produce different pulling strength, and exercise rehabilitation is carried out according to need.

The utility model relates to a kind of limb movement direction force detection device and upper limb rehabilitation training equipment.The detection device includes: grip, bottom plate, fixed frame and force sensor module;Wherein, grip is installed on fixed frame;Fixed frame is equipped with fixed frame mounting hole;Force sensor module includes detection part and substrate, and detection part is set on substrate;The side of detection part in substrate is fixed on fixed frame by first spacer, and the other side of detection part in substrate is fixed on bottom plate by second spacer.Upper limb rehabilitation training equipment contains the detection device.This device has the advantages of convenient assembly and maintenance, high assembly precision, stable movement, high space utilization, etc., and can be used to detect the training intention of patients and the force applied by the limbs, providing a basis for rehabilitation training.

This invention belongs to the field of rehabilitation training technology. It provides a method and system for analyzing upper limb rehabilitation training data, including the following steps: During the upper limb rehabilitation training process, static single-joint training parameter data and dynamic multi-joint collaborative training parameter data are collected in real time. The static single-joint training parameter data is then used to identify whether it meets the pain-free standard. This invention optimizes the problem of focusing only on single-joint data and ignoring multi-joint linkage and collaboration in upper limb rehabilitation training data analysis. It first identifies the static single-joint pain-free standard to eliminate basic interference, then filters and analyzes high-incidence combinations of multi-joint pain, and then reverse-engineers the final balance range where pain level meets the standard and range of motion is maximized, assessing the degree of achievement. Finally, it combines a safe expansion span to generate a stepped optimization range and predicts feasibility using a rehabilitation trend synergy index, achieving a shift from experience-driven to data-driven approaches.

The application provides a kind of upper limb rehabilitation robot movement intention prediction method and system based on graph-text multimodal fine-grained reasoning, belongs to robot upper limb action recognition technology technical field, by synchronously collecting surface myoelectricity signal of upper limb rehabilitation action and preprocessing, respectively extract one-dimensional time-frequency feature and two-dimensional coding image feature;Construct VGG16-LSTM double branch network training feature extraction model, after extracting fine-grained features, fuse through multi-head cross attention module, then reduce dimension through singular value decomposition, finally input random forest classifier to realize 6 class rehabilitation movement intention prediction, provide accurate movement intention perception ability for upper limb rehabilitation robot.Solve the problem that the accuracy is poor and the robustness is poor when the existing single dimension myoelectricity signal is input into the action prediction model and then the upper limb action intention is predicted.

1. The name of the design product: upper limb occupational therapy appliance. 2. The use of the design product: for upper limb rehabilitation treatment and training. 3. The design features of the design product: in shape. 4. The picture or photo that best shows the design features: perspective view.

The application relates to the technical field of medical rehabilitation, and discloses a closed-loop design method and system for an upper limb rehabilitation training system. The method comprises the following steps: S1, collecting multi-modal information in a patient training process in real time; S2, based on the multi-modal information, calculating an evaluation index of a patient state and a training effect in real time; S3, based on the evaluation index, dynamically generating a training strategy adjustment instruction through a preset decision rule; S4, executing the adjustment instruction, changing a training parameter and providing feedback to the patient, and then returning to step S1 to form a closed-loop control process; the multi-modal information comprises physiological electrical signals, kinematic information, dynamic information and physiological state information reflecting fatigue and concentration; through the closed-loop design, the system can dynamically adjust a training scheme according to the instant performance of the patient, realizes personalized rehabilitation of different people, can identify an abnormal motion mode in real time and immediately intervene, and prevents secondary injury.

This utility model discloses an electromagnetic pin running and testing device for upper limb rehabilitation equipment, including a crossbeam base, a drive motor, a torque sensor, a rotating head, a limiting impact block, a counting sensor, and an electromagnetic pin fixing assembly. The drive motor is vertically downwardly mounted at one end of the crossbeam base. The first connecting shaft of the torque sensor is connected to the output shaft of the drive motor, and the second connecting shaft of the torque sensor is connected to the rotating head. The limiting impact block is mounted on the circumferential surface of the rotating head, and the spindle of the electromagnetic pin is located on the rotation trajectory of the limiting impact block in the extended state. The counting sensor is mounted on the lower end face of the crossbeam base, and the sensing path of the counting sensor is located on one side of the spindle of the electromagnetic pin in the extended state. This utility model can realize the running and testing of electromagnetic pins, reduce the safety risks caused by component failure in rehabilitation equipment, and significantly improve testing efficiency compared to manual inspection.

The application discloses a brain-controlled upper limb rehabilitation robot brain-machine fusion grasping system and method, relates to the field of brain-computer interfaces, and aims to solve the problems of single control mode of traditional robots and poor autonomy in a dynamic non-structural environment. The system comprises a brain control module based on fine hand movement, an intention reasoning module based on fine hand movement, and a rehabilitation robot body module. The brain control module based on fine hand movement is connected with the intention reasoning module based on fine hand movement through a first wireless communication module, the intention reasoning module based on fine hand movement is connected with the rehabilitation robot body module through a second wireless communication module, the brain control module based on fine hand movement sends brain control instructions to the intention reasoning module based on fine hand movement through the first wireless communication module, and the intention reasoning module based on fine hand movement sends control instructions to the rehabilitation robot body module through the second wireless communication module.

The application provides a full-link cooperative upper limb rehabilitation personalized training method, belongs to the technical field of upper limb rehabilitation training, and is used for solving the problems of training scheme solidification, insufficient individualization and precision, and lack of full-link cooperative closed loop in related technologies. The method integrates user basic attributes, historical training, clinical reference and real-time sensing data, generates an individualized basic scheme through nonlinear feature extraction and rehabilitation stage determination, dynamically adjusts training parameters through a lightweight prediction model, generates a doctor-patient dual version report combined with an individualized evaluation algorithm, and optimizes full-link parameters through multi-directional feedback closed loop. The method realizes full-link cooperative adaptation, improves the precision, safety and individualization of rehabilitation training, and adapts to the needs of patients at different stages.

1. Name of the design product: upper limb rehabilitation robot. 2. Use of the design product: providing upper limb rehabilitation for stroke patients in the field of medical rehabilitation. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

This utility model discloses an upper limb rehabilitation training robot arm assembly with joint angle monitoring, including a body. A support column is located at the upper end of the body, and a connecting plate is located at the telescopic end of the support column. A robotic arm is located at the lower end of the connecting plate, and an upper limb placement slot is located at the end of the robotic arm. Two symmetrically arranged fixing rings are located within the upper limb placement slot, each containing an air ring. Air supply mechanisms for supplying air to the air rings are located at both ends of the upper limb placement slot, and a drive mechanism for driving the air supply mechanisms is located at the lower end of the upper limb placement slot. This utility model uses the expansion of the air rings to fix the patient's arm, creating a certain elastic space between the arm and the fixing rings, thus improving the patient's comfort during rehabilitation training.

The utility model relates to upper limbs rehabilitation training technical field, and disclose a kind of upper limb proprioception evaluation training device, including leg support, the leg support top is fixedly connected with first support leg, the first support leg outside is slidably connected with second support leg, the second support leg top is fixedly connected with connecting column, the connecting column inside is slidably connected with connecting frame, the connecting frame top is fixedly connected with table board, lifting assembly for lifting second support leg is provided on the table board, rotating assembly for rotating table board is provided on the connecting frame, the table board top is movably connected with panel, the table board is provided with the fixing piece for fixing panel. Thus the angle adjusting function of the device is more convenient, not only reduce the work burden of medical staff, but also can quickly adapt to the real-time change of patient rehabilitation needs, to significantly improve practicality.

This invention belongs to the field of diagnostic and rehabilitation technology, specifically an upper limb assistive exoskeleton robot. It includes a wearable body with a pair of auxiliary arms for assisting the upper limbs. The wearable body is worn on the human body via straps. A main unit is mounted on the wearable body, with a storage box and a set of connectors fixedly connected to its top. Dry electrode patches are placed inside the storage box. The dry electrode patches are removed from the storage box and applied to the muscles of the arm. The wearable body and auxiliary arms are then worn on the human body. Upper limb rehabilitation training can then be performed with the assistance of the auxiliary arms. During rehabilitation training, the dry electrode patches collect muscle data, which is then transmitted to the main unit. After rehabilitation training is completed, the main unit can display the muscle rehabilitation status and adjust the training intensity based on the data for better rehabilitation.

This utility model discloses an upper limb functional rehabilitation bar, belonging to the field of upper limb rehabilitation training equipment. It includes a bar body: an electronic palm grip strengthener is fixedly mounted on the upper part of the bar body, and a tilt angle monitoring and alarm device is provided on the bar body; the upper part of the bar body has an upper limit sleeve and a lower limit sleeve, the upper limit sleeve is fitted onto the bar body and located above the electronic palm grip strengthener, and the lower limit sleeve is fitted onto the bar body and located below the electronic palm grip strengthener; an upper limit bolt is threaded to one side of the upper limit sleeve, and a lower limit bolt is threaded to one side of the lower limit sleeve. The advantages of this utility model are: it integrates the electronic palm grip strengthener and the tilt angle monitoring and alarm device, realizing coordinated training of grip strength enhancement and upper limb balance control, improving the practicality of rehabilitation; the grip area can be limited by adjusting the bolts of the upper and lower limit sleeves, preventing the bar from slipping off the user's hand when the user moves their wrist and rotates the bar; and it has strong applicability.

The utility model discloses an upper limb recovery training device. Relates to the technical field of medical instruments, and comprises a bottom plate, a fixing seat and a support frame, the fixing seat and the support frame are slidably arranged, the fixing seat is provided with a forearm rotating assembly used for assisting forearm recovery, and the support frame is provided with a wrist training assembly used for assisting wrist joint recovery; the double-shaft motor in the fixing seat drives the rack to rotate and drives the forearm carrier sheath to rotate so as to carry out rotation auxiliary training on the forearm, and the rotating motor on the rotating ring drives the grab handle connecting frame to rotate so as to drive the grab handle to rotate and carry out bending auxiliary training on the wrist joint. A forearm carrier sheath or a grab handle is driven to rotate by rotating an arm or bending a wrist joint, motor torque hindrance is overcome, the arm or the wrist joint is autonomously exercised, and the whole fingers are intensively exercised by stretching and pushing a lantern ring elastically connected to the grab handle through the fingers; the utility model has the advantages of comprehensive function, simple structure, good flexibility and convenience in use.

This invention discloses a modular rehabilitation bed system for the upper and lower limbs, comprising a fixed base, a rehabilitation bed fixedly mounted on the top of the fixed base, a vertical plate fixedly mounted on one end of the rehabilitation bed, an upper limb rehabilitation component fixedly mounted on one side of the vertical plate, a first bed board fixedly mounted on the middle of the top of the rehabilitation bed, a second bed board hinged to one side of the first bed board, a third bed board hinged to the other side of the first bed board, a fourth bed board hinged to one side of the third bed board, a lower limb rehabilitation component fixedly mounted on the bottom of the fourth bed board, a height plate fixedly mounted on one end of the fixed base, a top plate fixedly mounted on the top of the height plate, and a massage component at the bottom of the top plate. This invention integrates upper limb rehabilitation, lower limb rehabilitation, and the rehabilitation bed into one unit, enabling multi-purpose use, on-demand configuration, and in-situ rehabilitation without transport, significantly reducing hospital equipment investment and nursing labor costs, and possessing strong industrialization and promotional value and social public health benefits.

The application relates to the technical field of upper limb rehabilitation robots, in particular to an upper limb rehabilitation robot. The upper limb rehabilitation robot comprises a wearable garment, a shoulder support, an elbow support, a driving system and a soft power exoskeleton support; the wearable garment is used for human body wearing and fixing, the shoulder support is fixed at the position corresponding to the human body shoulder of the wearable garment, and the elbow support is used for fixing the elbow of the upper limb of the human body; the driving system is connected with the soft power exoskeleton support, the soft power exoskeleton support comprises an upper arm soft power exoskeleton support, the upper arm soft power exoskeleton support is connected between the shoulder support and the elbow support, and the driving system is used for driving the upper arm soft power exoskeleton support to drive the elbow support to move close to or away from the shoulder support. The upper limb rehabilitation robot provided by the application can be directly worn on the patient, can follow the patient to move, and thus the patient can freely select a training position, and the demand of home rehabilitation training can be met.

This utility model discloses an upper limb rehabilitation training device for cerebral infarction, belonging to the field of rehabilitation training device technology. The utility model includes: a base; a support, the support being slidably mounted on the top of the base, and an mounting plate installed between the two sides of the inner wall of the support. Through the cooperation of the support, mounting plate, second auxiliary wheel, connecting rope, sliding plate, fixing plate, rotating rod, pull plate, positioning plate, and return spring, this utility model allows patients to perform rehabilitation training of different intensities at different recovery stages, further enhancing the training effect of the rehabilitation training device. Furthermore, through the flexible operation of the moving components, patients can easily switch between different training equipment, achieving a gradual transition from low to high intensity and from simple to complex movements. This diversified design not only meets the needs of patients for training intensity and methods at different recovery stages but also effectively improves the targeting and efficiency of rehabilitation training, promoting the rapid recovery of upper limb function.

The application discloses a servo control method and device of an upper limb rehabilitation robot, equipment and a storage medium, and relates to the field of robot control. The method comprises the following steps: assisting a target object to perform rehabilitation training by using an upper limb rehabilitation robot which is deployed with a pre-trained second control strategy model; acquiring a second transition tuple of each time step in the rehabilitation training process; and after the target object performs several times of rehabilitation training with the assistance of the upper limb rehabilitation robot, performing transfer learning on the second control strategy model by taking several second transition tuples as training data, so as to adjust the second control strategy model. The application realizes the improvement of the rehabilitation training effect.

The application discloses a kind of upper limb rehabilitation auxiliary system and motion control method based on flexible exoskeleton.The system includes flexible exoskeleton body, visual acquisition device unit;The motion control unit is based on the image of upper limb collected by visual acquisition device, and the current joint angle of wearer is solved by human posture recognition algorithm, and the current joint angle is calculated with the target joint angle in the preset rehabilitation training track library, and the basic driving torque is generated by PID control law.The motion control method is superimposed on the basic driving torque to keep force and buffer force two compensation items to overcome the leakage problem of Bowden line flexible transmission in the maintenance stage and the falling stage.The flexible exoskeleton body adopts backpack type driving unit and Bowden line flexible transmission assembly, and the four Bowden lines on the wrist are distributed in four quadrants on the wrist circumference, and the coordinated driving of two degrees of freedom of wrist flexion and ulna / radial deviation is realized by two motors in diagonal pairing according to the preset coupling matrix.The application uses visual feedback to replace the traditional IMU scheme, and realizes the smooth control of upper limb training or power action through torque compensation, coupled driving and safety limit.

The utility model provides an upper limb rehabilitation training device, include: support mechanism, gripping mechanism and damping adjusting mechanism, wherein, support mechanism includes first casing, gripping mechanism includes fixed link and two opposite setting handle of fixed link both ends, the middle part of fixed link is provided with pivot, pivot rotatory connection in first casing, with gripping mechanism can rotate relative to support mechanism, damping adjusting mechanism includes damper, movable frame and first drive part, damper is at least partial cover and set in pivot, movable frame is connected in damper far from one side of pivot, first drive part is connected in movable frame, first drive part is used for driving movable frame far from or close to pivot, with adjusting the extrusion force between damper and pivot and adjusting the damping when gripping mechanism rotates relative to support mechanism.

The application relates to the technical field of upper limb rehabilitation, and discloses an upper limb rehabilitation intention recognition feedback training method based on electroencephalogram signal analysis. The method integrates upper limb motor imagination electroencephalogram signals of multiple people, constructs a data set containing multiple effective electroencephalogram features of actions through quality screening, trains an initial electroencephalogram decoding model and a feature template through transfer learning, and stores clinical data of patients; an acquisition unit is deployed to screen effective signals, and a report containing time sequence and clinical information is generated through decoding; subsequently, a multi-modal feedback and exoskeleton assistance guiding training are performed, an evaluation matrix is generated, and a personalized rehabilitation path is dynamically adjusted; finally, qualified signals are screened, the model and the template parameters are updated through incremental transfer learning, and the threshold is corrected and adapted, and then stored. The application effectively improves the accuracy, adaptability, rehabilitation effect and efficiency of upper limb rehabilitation training.

This invention discloses a fully intelligent sports rehabilitation machine device, belonging to the field of exercise equipment technology, including a main unit, a handle, a foot fixation device, a grip strength training structure, a remote control, and other components. The main unit has foot fixation devices with massage protrusions on both sides, and a griptable handle on the top. The handle contains a grip strength training structure. The main unit also includes a display and a blood pressure monitor storage structure. The remote control has multi-functional speed adjustment and status display functions. This invention provides foot massage, upper limb rehabilitation, and grip strength training functions. It is easy to operate and safe to use, assisting patients in efficiently carrying out rehabilitation training, improving the convenience and safety of rehabilitation training, and optimizing the patient's rehabilitation experience.

This invention discloses an upper limb rehabilitation training device for autistic patients, comprising a support assembly, a training mechanism, a resistance loading module, a human-computer interaction panel, and a control module. The support assembly provides structural support and allows for spatial adjustment of the training position. The training mechanism, mounted on the support assembly, supports the patient's upper limb and guides its movement. The resistance loading module is connected to the training mechanism to apply adjustable resistance. The human-computer interaction panel has a display screen for showing guided animations. The control module is communicatively connected to the training mechanism, the resistance loading module, and the human-computer interaction panel. The control module is configured with an active guidance mode and an resistance mode. The active guidance mode actively guides the patient's movement, while the resistance mode performs resistance training. This device employs a two-stage training strategy—first establishing motor memory and then progressively increasing resistance—which can reduce patient resistance and the likelihood of agitation while ensuring training effectiveness.