Open AccessDetection and Identification the Human Surface Electromyogra Signal
Author(s) -
Guobiao Yang,
Zhenyuan Sun,
Zhao Wang,
Gangdong Sun
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/2/022016
Subject(s) - signal (programming language) , computer science , time domain , amplitude , amplifier , frequency domain , electronic filter , filter (signal processing) , electronic engineering , acoustics , electrical engineering , engineering , telecommunications , bandwidth (computing) , physics , voltage , optics , computer vision , programming language
The pre-amplifier circuit in this design uses the INA 128. In order to make the collected signal more authentic and eliminate the influence of the interference signal, a 50Hz industrial sink-wave circuit and a band pass filter circuit are designed in the subsequent circuit. And then, a secondary amplification was also used to make the A/D chip work smoothly. The designed circuit was simulated by Multisim test. The results obtained fully meet the expected requirements. Finally, the hardware circuit is built, and the real-time acquisition of electromyogram signal is realized. Based on the above equipment, time domain and frequency domain analysis of the collected electromyogram signal are carried out. The obtained test results conform to the general spectrum characteristics of the electromyogram signal, the frequency range is mainly concentrated at 0Hz -500 Hz, and the amplitude is relatively high in the range of 50Hz -200 Hz. The experimental results show that the relationship between the amplitude of the force stimulus and the amplitude of the electromyogram signal is positive, which verifies the accuracy of the test system design.