A 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 effects of improving accuracy, improving gait walking ability, and increasing portability and practicability

Active Publication Date: 2021-11-19
ZHEJIANG UNIV
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion
  • A gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion
  • A gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a gait acquisition and neuromuscular electrical stimulation system based on multi-sensor fusion, which belongs to the field of rehabilitation engineering. It includes a myoelectric signal acquisition sensor module, a stimulation module, a wireless transmission module and a host computer module, and the sensor module includes a surface myoelectric sensor, a laser ranging sensor and an inertial sensor. The present invention can carry out real-time wireless collection and transmission of surface electromyographic signals of lower limbs, Euler angle, angular velocity, acceleration and the distance from ankle to ground during walking, and send them to the upper computer module for calculation and processing. The present invention can obtain and reproduce the electrical stimulation mode and parameters of the functional movements of the lower limbs of healthy individuals, and study the control sequence of fine movements; it can also be used for users with gait disorders, and cooperate with ankle-foot orthoses to realize self-optimization by using myoelectricity and kinematics information Control the stimulation program to achieve the purpose of individualized motor function reconstruction. The invention can perform wireless reception and processing of data based on the mobile terminal, which increases portability and practicability.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): A61N1/36A61B5/11A61B5/296G06K9/62
CPCA61N1/36003A61N1/36031A61B5/112A61B5/1116A61B2562/0219G06F18/25
Inventor 周聪聪叶学松杨力林
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products