Gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion

A neuromuscular and electrical stimulation technology, applied in the field of medical rehabilitation engineering, can solve problems such as parameter stimulation, and achieve the effect of simplifying signal lines, measuring gait conveniently, and improving gait walking ability.

Active Publication Date: 2020-09-15
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The traditional electrical stimulation parameters are fixed, for the user's personalized parameter stimulation

Method used

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  • Gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion
  • Gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion
  • Gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion

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Embodiment Construction

[0036] The specific implementation of the present invention will be described below in conjunction with the embodiments and the accompanying drawings.

[0037] Such as figure 1 As shown, a gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion includes a sensor module, a stimulation module, a data transmission module (wireless transmission) and a host computer module.

[0038] The sensor module of the present invention includes surface electromyography sensors, laser ranging sensors and inertial sensors. Different sensors can collect different signals, which are then used for subsequent data fusion. In the present invention, it can simultaneously collect surface electromyographic signals of lower limbs, Euler angles, angular velocity, acceleration, and the straight-line distance between the ankle and the ground, so as to realize the acquisition of real-time gait information. Specifically, the surface electromyography sensor is used to co...

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Abstract

The invention discloses a gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion, and belongs to the field of rehabilitation engineering. The system comprises anelectromyographic signal acquisition sensor module, a stimulation module, a wireless transmission module and an upper computer module, wherein the sensor module comprises a surface electromyographicsensor, a laser ranging sensor and an inertial sensor. According to the invention, surface electromyographic signals, Euler angles, angular velocities and accelerations of lower limbs and the distancefrom ankles to the ground during walking can be subjected to real-time wireless acquisition and transmission, and are sent to the upper computer module for calculation and processing. According to the invention, electrical stimulation modes and parameters of lower limb functional action and recurrence of healthy individuals can be obtained, and a control sequence of fine actions is studied; and aiming at a gait disorder user, an ankle-foot orthosis is matched, and an autonomous optimization control stimulation scheme is realized by utilizing myoelectricity and kinematics information, so thatthe aim of reconstructing a personalized movement function is fulfilled. According to the invention, wireless receiving and processing of data can be carried out based on a mobile terminal, and portability and practicability are improved.

Description

technical field [0001] The invention relates to the field of medical rehabilitation engineering, in particular to a gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion. Background technique [0002] The lower extremity exoskeleton robot has a very broad application prospect in assisting the elderly and the disabled. Only by correctly identifying the movement pattern of the lower limbs can an effective control strategy be adopted. Therefore, lower limb gait pattern recognition has become one of the key technologies for lower limb exoskeleton robots. [0003] The walking of the human body is a very complicated process, and the comprehensive analysis of various signals is required to accurately identify the gait. [0004] Surface electromyography (SEMG) is an electrical signal generated with myoelectric contraction, which can be collected on the surface of the skin through electrodes. By decoding the surface EMG signals of the lower l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N1/36A61B5/11A61B5/0488G06K9/62
CPCA61N1/36003A61N1/36031A61B5/112A61B5/1116A61B2562/0219G06F18/25
Inventor 周聪聪叶学松杨力林
Owner ZHEJIANG UNIV
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