46 results about "Muscle strength" patented technology

This utility model discloses a rehabilitation device for lower limb dysfunction with adjustable angle, relating to the field of rehabilitation technology. It includes a base frame and a computer operating unit. The computer operating unit is installed on the top of the base frame, which has an adjustable support unit on top and a body support unit on top of the adjustable support unit. The device utilizes four square blocks on both sides inside the foot pedal. Two of the blocks have Velcro fasteners (first type) on top, and the other two have Velcro fasteners (second type) on top. During use, the patient places their foot on the foot pedal, and the Velcro fasteners (first and second types) securely fix the foot to the pedal. This effectively prevents the foot from slipping or becoming unstable on the foot pedal due to weakened muscle strength or poor balance during rehabilitation training, thus ensuring the smooth progress and safety of rehabilitation training.

The application discloses a lower limb venous thrombosis prevention training device and particularly relates to the field of training devices. The device comprises a support frame, both sides of the bottom of the support frame are provided with placing grooves, a sliding block is slidably connected to the support frame, a limiting groove is fixedly connected with the sliding block and slidably connected to the support frame, two driving racks are symmetrically arranged on the two sides of the sliding block and fixedly connected with the sliding block, two first driving gears are respectively engaged with the corresponding driving racks, each first driving gear is rotatably connected to the support frame, two flexible shoes are symmetrically arranged and each flexible shoe can be detachably connected with the limiting groove and the first driving gear, and a driving assembly can be driven by a user to move the sliding block. The application solves the problem that the existing prevention training device is not suitable for the elderly patients with insufficient muscle strength and improves the initiative of patient training.

This utility model discloses a dance training device, including a non-slip base, a strength training structure, an adjustment structure, a back training structure, and an arm stretching training structure. A support is mounted on the upper surface of the non-slip base. The strength training structure is mounted at one end of the support, a seat cushion is mounted on the upper surface of the support, and an adjustment structure is mounted at the other end of the support. The back training structure is mounted on the top rear side of the upper surface of the non-slip base, and the arm stretching training structure is mounted on top of the back training structure. The strength training structure of this utility model typically utilizes mechanical principles, applying action and reaction forces to the human body to enhance muscle strength. When the user operates it, the resistance device generates reverse resistance, which the user must overcome to complete the movement, thereby achieving the purpose of strength training. The support provides a fixed position for the strength training structure, ensuring its stability during training.

The application discloses a patient assisting getting-up bed, which comprises a sickbed body, an auxiliary getting-up assembly and an anti-side-sliding assembly, wherein the anti-side-sliding assembly comprises a linkage inflation unit and air bags, and the air bags are arranged at equal intervals on the upper surface of a second bed plate. In order to solve the problem that the ordinary assisting getting-up sickbed cannot control the body balance and causes side sliding when the patient with weak muscle strength suddenly gets up from the inclined position for a long time, the anti-side-sliding assembly is designed. Through the arrangement of the anti-side-sliding assembly, the air bag array can be automatically inflated when the patient gets up, so that the anti-side-sliding convex region is formed at the position of the upper body of the patient, the side sliding phenomenon is effectively avoided, and the flatness can be automatically recovered when the patient lies flat, and the anti-side-sliding assembly is particularly suitable for the patient with weak muscle strength.

The present application relates to a kind of traditional Chinese medicine liquid and traditional Chinese medicine paste for regulating muscle strength balance and preparation method thereof, the traditional Chinese medicine liquid for regulating muscle strength balance is prepared from the following raw materials by weight percentage: 8-12 parts of jieseng, 12-18 parts of eucommia ulmoides, 10-15 parts of taxillus, 15-20 parts of radix puerariae, 12-18 parts of radix astragali, 6-10 parts of chuanxiong, 9-12 parts of radix paeoniae alba, 10-15 parts of radix anemarrhena, 5-8 parts of mentha, and 6-8 parts of licorice.The preparation method of the traditional Chinese medicine liquid includes the following steps: a. pretreatment of raw materials; b. double extraction; c. concentration and mixing; d. blending and homogenization; and e. sterilization and packaging.The traditional Chinese medicine liquid and traditional Chinese medicine paste for regulating muscle strength balance are used for the regulation of spastic, atrophic and mixed muscle strength imbalance, and the relief of muscle spasm, muscle atrophy, and incoordination of limb movement, etc., and are suitable for post-stroke rehabilitation, secondary imbalance of cervical and lumbar spondylosis, and recovery of sports injury, etc., and have the advantages of bidirectional regulation and targeted penetration, etc.

1. Name of the product in this design: Intelligent Muscle Trainer. 2. Purpose of this design: For measuring muscle strength. 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 respiratory training technology and provides a method for detecting respiratory training data. The method includes collecting respiratory data detected by a respiratory training device and preprocessing the data to obtain preprocessed data; calculating flow rate based on the respiratory data; calculating volume based on the respiratory data and flow rate; calculating power based on the respiratory data, muscle strength, and flow rate; calculating calories based on the respiratory data and power; and combining volume, flow rate, muscle strength, power, and calories to analyze and optimize the training effect. This invention provides a quantitative analysis of respiratory training using volume, flow rate, muscle strength, power, and calories, providing specific data representation of the respiratory training effect, and enabling corresponding strengthening and optimization of respiratory training to improve its effectiveness.

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

This technology efficiently improves the accuracy of musculoskeletal model simulations that take into account variations in muscle development among individuals. [Solution] The simulation device 1 of a musculoskeletal model including multiple muscle parts arranged along the skeleton includes a measurement result acquisition unit 11 that acquires a first measurement result, which is the measurement result of muscle strength measurement using multiple muscle parts belonging to the subject's SFL, and a second measurement result, which is the measurement result of muscle strength measurement using multiple muscle parts belonging to the subject's SBL, and an adjustment unit 12 that performs an adjustment process to adjust the muscle strength of at least one of the multiple muscle parts belonging to the SFL and the multiple muscle parts belonging to the SBL in the musculoskeletal model based on a comparison result of the first measurement result and the second measurement result.

The application provides a lower limb muscle strength prediction and balance function evaluation method based on plantar pressure and spatial pose fusion, comprising: collecting plantar pressure data, lower limb spatial pose data and human individual physiological parameters of a subject, and combining a force platform to obtain ground reaction force data; real lower limb muscle strength is calculated by using inverse dynamics and Hill muscle model, and a plantar pressure + spatial pose-lower limb muscle strength data set is constructed; the optimal sensor quantity and layout are obtained by combining a heuristic optimization algorithm and a machine learning regression model, taking prediction accuracy and information redundancy as indexes; a deep forest model is trained based on fusion features, real-time prediction of hip joint, knee joint and ankle core muscle group muscle strength is realized; further, muscle strength symmetry analysis, weak muscle group identification and hip-knee-ankle force ratio analysis are completed, and multi-dimensional quantitative evaluation of balance function is completed. The method can realize high-precision lower limb muscle strength prediction under limited sample conditions, and output multi-dimensional balance function evaluation results.

A wearable suit configured to assist muscular strength of a user, the wearable suit comprising: a body unit; a fixing unit configured to fix the body unit to an upper body of the user; an arm coupling unit coupled to at least a portion of an arm of the user; and an arm connecting unit configured to connect the body unit and the arm coupling unit to each other. The body unit comprises a housing defining an accommodating space therein; and a muscular strength assistance unit disposed inside the housing and comprising at least a portion comprised of a shape memory alloy material.

The application discloses a kind of dystonia evaluation system and method based on wearable inertial sensor.The system includes: data acquisition module, including wearable inertial sensor and portable muscle strength tester, for the synchronous acquisition of subject's multidimensional motion data and muscle strength data;Data preprocessing module is used to optimize the data collected;Characteristic processing module is used to extract multidimensional features from the processed data, and then complete feature dimension reduction through principal component analysis to obtain a core feature subset;Evaluation model module is based on machine learning algorithm Training evaluation model, the core feature subset is used as model input, to realize the accurate classification of dystonia type;Result output module is used to generate quantitative evaluation report, to provide objective data support for clinical diagnosis and treatment plan formulation.The application solves the problem that traditional evaluation relies on subjective experience and lacks quantitative standard, and improves the accuracy and standardization of dystonia evaluation.

This application discloses an exercise prescription generation device, method, equipment, and medium, relating to the field of sports health management technology and applied to computer devices. It includes: a feature extraction module that simultaneously collects body composition and muscle strength data from obese subjects, and obtains body composition and muscle strength features through preprocessing and feature extraction; a preliminary generation module that performs hierarchical judgment on the two types of features to determine the obesity type and muscle strength level, and generates a preliminary exercise prescription based on the combination results; a prescription generation module that uses the body-muscle combination index to determine aerobic exercise parameters and determines resistance training parameters based on the muscle strength level, generating a target exercise prescription for the current execution cycle; an exercise review module that obtains the review results after the subject executes the prescription; and a prescription adjustment module that adjusts the prescription based on the review results to obtain the target exercise prescription for the next execution cycle. This effectively solves the problems of single-dimensional exercise prescription assessment, insufficient personalization, inaccurate intensity matching, and lack of quantitative decision-making and dynamic adjustment.

The application provides an athlete muscle strength training and rehabilitation system based on electric stimulation, and relates to the technical field of medical rehabilitation.The application synchronously collects electromyography and kinematic signals, extracts muscle coordination index and joint net output torque double-dimension features in real time, identifies three movement performance states of coordination dominant type, strength dominant type and mixed type, and dynamically generates differentiated electric stimulation parameter sets according to the three movement performance states, so that the precise typing and targeted intervention of the fatigue state of athletes are realized, the muscle coordination efficiency and strength output are synchronously optimized in training, compensatory injury is effectively prevented and functional recovery is accelerated in rehabilitation, and the individualization, safety and overall efficiency of training and rehabilitation are improved.

1. Name of the product in this design: Multifunctional Lip Muscle Trainer. 2. Purpose of this design: For lip muscle strength training. 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.

1. Name of the design product: arch support (bear paw). 2. Use of the design product: for improving foot muscle strength, training and correcting arches. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The present application belongs to the technical field of muscle strength training and evaluation system, and discloses a kind of forearm muscle strength training and evaluation system, method, forearm muscle strength training device includes resistance adjusting assembly, handle and shell, for forearm muscle strength training;Forearm muscle strength evaluation system includes static torque sensor, signal transmitter, single-chip microcomputer, display screen, button, speaker, static torque sensor, signal transmitter, display screen, speaker, button and single-chip microcomputer are electrically connected, for the data of forearm muscle strength training device is collected, and the collected data is analyzed and evaluated.The present application can quickly switch between muscle strength training and muscle strength evaluation, which helps patients or athletes to understand the strength level and muscle strength development balance of their forearm muscles in time, in addition, targeted training plan can be adjusted according to data feedback, which helps to improve forearm strength level and joint stability, and helps to discover potential sports risks in time.

1. Name of the product in this design: Foot arch support (ginkgo leaf). 2. Purpose of this design: To improve foot muscle strength and train and correct the arch of the foot. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

Described herein are movement devices and their methods of use. The movement devices described herein are configured to force a user to passively pedal, thereby increasing muscle strength in their lower extremities.

Disclosed is a muscle strength aid device including a multi-link part including one or more links, an elastic force providing part coupled to one side of the multi-link part, and that provides a force by an elastic force to the multi-link part, a profile adjusting part coupled to an opposite side of the multi-link part, and a portion of which is configured to be rotatable, a rotation guide part connected to the profile adjusting part, and configured to rotate the profile adjusting part, and a power providing part connected to the rotation guide part, and that operates the rotation guide part. The power providing part includes a wire pulley that is rotatable, and a wire connecting the wire pulley and the rotation guide part, and that operates the rotation guide part as the wire pulley is rotated.

The application discloses a muscle strength detection simulation method for a high-simulation person, wherein the high-simulation person comprises a plurality of movable joints and driving motors to simulate the activities of various joints of a human body, and the method comprises the following steps: S1, acquiring simulation case information issued by a user, wherein the simulation case information comprises a muscle strength part of a simulated patient and a muscle strength grade; S2, acquiring a muscle strength detection action instruction of the user; S3, determining a target active joint of the high-simulation person, a target driving motor for driving the target active joint to move and a target active part based on the muscle strength detection action instruction, wherein the target active part is a human body part from the target active joint to the end of a limb of the high-simulation person; and S4, the high-simulation person performs corresponding simulation feedback based on the muscle strength grade of the target active part, so that the user can observe and experience the state simulation of different parts and different muscle strength grades of the high-simulation person and the instant interactive feedback of the implementation detection operation, and the interactive experience is improved, and the user can quickly master the muscle strength examination skill.

The application relates to an anti-resistance elastic band for Ba Duan Jin training and a muscle strength evaluation system, which are applied to the technical field of sports training monitoring and evaluation. The system comprises the following: the anti-resistance elastic band is internally integrated with a multi-point flexible film type tension sensor array, which is embedded according to preset layout rules according to the distribution of main force muscle groups of eight Ba Duan Jin postures; a signal conditioning circuit amplifies and filters sensor signals; a data acquisition module receives real-time tension data; a storage stores standard mechanical models of each posture of Ba Duan Jin; a processor executes a program to perform posture recognition, data segmentation, and calculate strength time matching degree, strength amplitude matching degree and strength duration matching degree, and generate multi-dimensional muscle strength evaluation results; and a feedback module outputs the evaluation results. Through special sensor layout, offset detection compensation, elastic coefficient self-calibration and multi-modal fusion, high-precision, long-term stable quantitative evaluation of muscle strength in Ba Duan Jin training is realized.

This application relates to the field of assisted driving technology, and more particularly to a method, device, vehicle, and medium for assisting driving for disabled persons. The method includes: upon entering an assisted driving mode in response to a user's mode selection command, real-time acquisition of electroencephalogram (EEG) signals from the user's motor cortex; analyzing the EEG signals, specifically identifying signal features of electrodes that map to a preset driving intention, to determine the target driving intention and corresponding target torque; identifying the user's current actual driving operation to obtain the actual driving intention and actual torque; and compensating for the actual torque based on the target torque when the actual driving intention matches the target driving intention. This method effectively compensates for insufficient torque caused by muscle atrophy or fatigue in disabled persons with insufficient muscle strength but clear consciousness, thus meeting the practical needs of this specific type of disabled person for independent and safe driving.

The present application relates to the technical field of motion trajectory tracking, in particular to a skeletal muscle motion trajectory tracking system for early screening of myasthenia gravis patients. The system comprises: acquiring position coordinates and motion trajectories of key skeletal muscle nodes; determining the abnormal degree of muscle strength efficiency according to the instantaneous motion state fluctuation and curvature distribution of the motion trajectories; acquiring the bending angle and time sequence electrical signals of the target muscle pair of the muscle with synergistic effect, and determining the degree of synergy breakdown according to the fluctuation correlation of the time sequence electrical signals and the bending angles of different muscles; combining the abnormal degree of muscle strength efficiency and the degree of synergy breakdown to determine the motion trajectory abnormality coefficient, and tracking and screening based on the motion trajectory abnormality coefficient. The present application can effectively capture the irregular transition characteristics from "steady state to tremor state" of intermittent myasthenia, and effectively improve the sensitivity of early myasthenia screening.

The utility model discloses a kind of neurology patient rehabilitation nursing walking aid, including frame body, four walking wheels rotatably connected to the frame body by pivot are installed on frame body, further including four brake covers fixed on frame body and coaxial with corresponding pivot, pivot is fixedly connected with rotating disc, and rotating disc is located in corresponding brake cover, the outside of rotating disc is hinged with at least two counterweights, and spring is elastically connected between counterweight and rotating disc;Its beneficial effect is that: the counterweight set can contact with friction ring to provide advancing resistance when walking wheel rotation speed is faster, and moderate resistance can effectively exercise the muscle strength of patient, enhance joint stability, improve the motion control ability and balance ability of patient, in addition, the resistance generated when walking wheel rotates can avoid walking aid moving speed too fast, effectively prevent the phenomenon of falling down when patient can not master moving speed.

This application provides a rehabilitation training wheelchair, relating to the field of rehabilitation wheelchairs. It includes a control box, an external drive assembly, a driven assembly at the front end of the drive assembly, a training assembly between the drive assembly and the driven assembly, a transmission assembly inside the training assembly, a transformation assembly at the top of the drive assembly, a support assembly at the top of the transformation assembly, and an auxiliary suspension assembly above the support assembly. This application, through the transformation assembly and training assembly, enables the support assembly to change shape via the transformation assembly, and, in conjunction with the auxiliary suspension assembly, assists the user in standing. The user can step on the transmission assembly and use the training assembly for rehabilitation training, improving the user's motor function impairments, stimulating the body's own rehabilitation mechanisms and muscle strength recovery, and converting kinetic energy into electrical energy for recycling through the training assembly, thus enhancing the wheelchair's rehabilitation training effect.

This invention discloses an early assisted standing posture system and method to promote lung expansion after lung transplantation, belonging to the field of medical rehabilitation technology. The system includes a data acquisition module, a muscle strength assessment and compensation decision module, a power-assisted execution module, an embracing psychological support module, an emotion monitoring and response module, and a process control module. It uses multi-sensor fusion technology to identify the specific locations of muscle weakness in patients in real time, uses intelligent decision-making algorithms to calculate the required compensation assistance, and provides dynamic compensation through precise power-assisted devices. At the same time, it integrates multi-dimensional psychological support such as a forward embracing structure, voice guidance, and bionic body temperature and tactile feedback to achieve a synergistic effect of physiological function compensation and psychological and emotional support, providing safe, efficient, and humane early standing rehabilitation training for patients after lung surgery.

This invention provides a simulation system. The simulation device comprising a musculoskeletal model including multiple muscle sites arranged along the skeleton includes: a measurement result acquisition unit that acquires a first measurement result and a second measurement result, the first measurement result being a measurement result of muscle strength measurement performed using multiple muscle sites belonging to the subject's SFL, and the second measurement result being a measurement result of muscle strength measurement performed using multiple muscle sites belonging to the subject's SBL; and an adjustment unit that, based on a comparison of the first and second measurement results, performs adjustment processing to adjust the muscle strength of at least one of the multiple muscle sites belonging to the SFL and the multiple muscle sites belonging to the SBL in the musculoskeletal model.

The application belongs to the technical field of rehabilitation auxiliary devices, and discloses a circulating heat dissipation magnetic vibration assisted rehabilitation physiotherapy device, aiming to solve the technical problems of low heat dissipation efficiency, large rigid impact, functional homogenization, limited adaptive scene and easy-to-be-similar patents of the existing rehabilitation devices. The device comprises a device main body, a magnetic vibration driving assembly, a circulating heat dissipation assembly, a flexible composite transmission cushion layer and a control module. The magnetic vibration driving assembly is embedded in the device main body and is used for outputting a directional magnetic vibration physiotherapy force. The circulating heat dissipation assembly is arranged outside the magnetic vibration driving assembly and forms a closed circulating heat exchange loop. The flexible composite transmission cushion layer serves as a magnetic vibration energy transmission and elastic force storage and buffering carrier. The control module synchronously controls the magnetic vibration output and the heat dissipation power. The application is a unique combination of circulating heat dissipation, magnetic vibration assistance and flexible transmission, is suitable for rehabilitation physiotherapy of multiple scenes such as lower limbs, lumbar vertebrae and children, has a compact structure and high safety, can effectively avoid the risk of similar existing patents, provides a basis for subsequent construction of a subdivided scene patent matrix, and is suitable for home rehabilitation, postoperative recovery, middle-aged and old muscle strength maintenance and other rehabilitation auxiliary scenes.