Real-time control method for artificial limb based on single-point acquiring muscle signals

Abstract

The invention relates to a real-time control method for an artificial limb based on single-point acquiring muscle signals. The method comprises the following steps: acquiring the muscle signals through a sound sensor; acquiring a forearm grabbing sound signal generated by carrying out grabbing actions with hands through a data acquisition card; wiping off the noise of the forearm grabbing sound signal; converting the sound signal into a digital signal; dividing the acquired digital signal into short timeframes; carrying out variance calculation on each frame signal; if the variance of each frame signal excesses a first threshold, intercepting the subsequent data segment to be used as an actuating signal segment; if the variances of the three continuous frames excess a second threshold, intercepting the subsequent data segment to be used as an actuating signal segment; extracting the time domain features of actuating signals in the actuating signal segment; inputting the time domain feature into a linear classification model to obtain an action discriminating result; and converting the action discriminating result into an electrical signal used for controlling the grabbing action of the artificial limb. The invention has the advantages of low cost, less interference, low hardware requirements and simple operation, and is not easy to be interfered.

Description

technical field [0001] The invention relates to artificial limb control, in particular to a real-time artificial limb control method based on single-point collection of muscle sound signals. Background technique [0002] At present, the control signals used for prosthetic control mainly include the human body's own myoelectric signal, EEG signal, nerve electrical signal and sound. Among them, EMG has always been the main direction of research due to its many advantages, but there are still some shortcomings in EMG, such as strict requirements on the acquisition surface, expensive sensors, strong influence by impedance, poor anti-interference ability and so on. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a real-time control method of prosthesis based on single-point collection of muscle sound signals in order to overcome the defects of the above-mentioned prior art. [0004] The object of the present inventio...

AI Technical Summary

Problems solved by technology

Among them, EMG has always been the main direction of research due to its many advantages, but there are still some shortcomings in EMG, such as strict requirements on the acquisition surface, expensive sensors, greatly affected by impedance, poor anti-interference ability, etc.