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3D Gait Analysis System

Three-dimensional gait analysis system is based on the human walking state using biomechanical principles, anatomical principles, physiological knowledge for comparative analysis and specially designed equipment.

Product model and Specifications:
• Number of sensors: 2292 (4 high-precision sensors) 
• Error rate: ≤ 2% of the maximum range; Acquisition frequency ≥ 400fps

    Product Introduction

    Medtrack 3D gait analysis system integrates AI artificial intelligence image recognition technology, high-precision pressure sensor technology and other comprehensive applications in human gait analysis, accurate 3D reconstruction of gait process, automatic marker recognition technology, making the test more convenient. It can be widely used in clinical gait analysis, gait biomechanics research, neural perception, sports science research and analysis, ergonomics and other fields.
    System using computer deep learning principle, USES the neural network algorithm to automatic recognition of motor movements, 3-d motion analysis, through the unique artificial intelligence algorithms, but without interference and influence patient rehabilitation training and daily activities, without wearing any wearable device marking points, namely can obtain three-dimensional gait related indicators, Such as step length, frequency and support phase, swing phase and variability of gait parameters, etc.

    Product features

    • Video capture function: support SD card import analysis mode, support industrial camera real-time acquisition analysis.
    • Low body automatic identification of key points: support James. Sea human body 21 point biomechanical model, support custom human body recognition model,
    • Support sports equipment (javelin, shot put, hammer throw, discus).
    • Low data calculation and export: gravity calculation, vector Angle, projection Angle, Angle velocity/acceleration (support C3D, CSV, TSV a variety of export data format).
    • Space calibration: 2D calibration, 3D calibration, coordinate transformation.
    Low manual correction function: fixed coordinates, digital filtering, the delete mark point, curve fitting.
    • Low 3 d data synthesis: batch synthesis, key frame synchronization, the shutter correction.
    • Analog signal input: such as surface electromyography, force measuring table, electroencephalogram, plantar pressure, etc.
    It can cooperate with surface electromyography and force table for 3D motion capture analysis.
    Introduction to the wireless surface electromyography analysis system: The surface electromyography analysis system is a new generation of multifunctional electromyography function diagnosis, evaluation and analysis instrument for the rehabilitation field. It collects neuromuscular bioelectrical signals from the muscle surface through electrodes for quantification, analysis and processing. The visual recordings feedback the working state and efficiency of the muscles, so as to guide the patients to carry out nerve and muscle function training. The main functions include: muscle strength assessment, muscle tension assessment, hemiplegia of upper and lower limbs assessment, facial paralysis assessment of low back pain assessment, spinal cord injury of upper and lower limbs assessment, patellar softening assessment, cervical spondylosis assessment, lumbar disc herniation assessment, gait analysis, etc.
    3D Gait Analysis System (2)
    Wireless surface electromyography features:
    • Full wireless design of surface EMG, the maximum can support 50m wireless transmission, testing without pressure;
    • Button type electrode design, with a one-off electrode, bring acme portable operating experience;
    • Reliable fitting method and electrode chip design, effectively reduce noise and improve the stability of fitting.
    3D Gait Analysis System (3-1)
    3D Gait Analysis System (3-2)
    3D Gait Analysis System (4)
    Six weight load stage introduction: six component built-in high precision load cell, biological force can real-time measuring force and output force. The product is equipped with an embedded high-precision data acquisition system, which integrates measurement and data processing and analysis. It is suitable for motion testing, gait analysis and other fields.
    Features of the six-component force measuring table: the ground reaction force is mainly collected, the ground reaction force in three directions is collected, the joint force is reversally derived, and the joint moment is calculated.

    Clinical application

    • Determine the gait features, such as gait period, step length, stride length, step width, walking speed, Angle of the joint movement parameters, such as walking function state of patients is analyzed.
    • Judgment of pathological changes of patients, such as hip, knee and ankle joints, the kinematics and dynamics characteristics, as well as the change of muscle power, provide the basis for the diagnosis and treatment of the disease.
    • The rehabilitation effect of patients was analyzed, and the effect of rehabilitation training was evaluated by comparing the gait data before and after treatment, so as to provide a basis for formulating the next rehabilitation treatment plan.
    • To provide an objective basis for the formulation of the overall rehabilitation plan, according to the information provided by the gait analysis system, the mechanism of walking function disability is deeply studied, and the targeted treatment plan is provided from the perspective of biomechanics.
    • Evaluate gait before and after wearing a prosthesis or brace, evaluate its effect, and make a large number of necessary adjustments.

    Applicable population

    • Central nervous system injury, such as hemiplegia, cerebral palsy, etc.
    • Bone and joint diseases and trauma, such as hip or knee surgery, arthritis, ligament injuries, leg length discrepancy, etc.
    • Lower limb muscle strength injury, such as poliomyelitis, femoral nerve injury, common peroneal nerve injury, etc.
    • Others: pain affects gait, postural problems affect gait, etc.
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