A Study on the Decomposition of Surface EMG Signals Based on Second Order Non-stationary Source Separation
- VernacularTitle:基于SEONS算法的表面肌电信号分解方法研究
- Author:
Qiang LI
;
Jihai YANG
;
Xiang CHEN
;
Xu ZHANG
- Publication Type:Journal Article
- Keywords:
surface EMG signals;
second order non-stationary source separation;
decomposition;
motor unit action potential
- From:Space Medicine & Medical Engineering
2006;0(02):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the decomposition method of surface EMG(sEMG)signals based on Blind Source Separation and to detect the the motor unit action potential(MUAP)information.Methods Utilizing the sEMG signals recorded at low muscle contraction force(10% MVC),the methods of second order non-stationary source separation(SEONS)and FastICA were explored to analyze the sEMG signals decomposition.Results The experiment results showed that the MUAP information could be acquired by spike detection and pattern recognition after the decomposition of recorded sEMG signals using the proposed algorithm and FastICA method,but a little difference occurred due to the complexity of sEMG signals.Conclusion The non-stationary characteristic of sEMG signals is considered by the SEONS algorithm,and the proposed method can be applied in the sEMG signals decomposition.
