Motion Signal Extraction Method Based on sEMG Energy Gauss Distribution Characteristics
10.3969/j.issn.1671-7104.2014.03.005
- VernacularTitle:利用sEMG能量高斯分布特性提取动作信号的方法
- Author:
Ruihui LI
1
;
Zhijian FAN
;
Cuilian ZHAO
;
Linhui LUO
;
Kai WANG
Author Information
1. 上海大学上海市机械自动化及机器人重点实验室
- Keywords:
surface electromyography (sEMG);
motion extraction;
Gaussian distribution;
energy threshold
- From:
Chinese Journal of Medical Instrumentation
2014;(3):177-180
- CountryChina
- Language:Chinese
-
Abstract:
Motion segment and extraction from continuous signals is the premise of surface electromyography (sEMG) analysis, For the problem that sEMG energy threshold required repeated manual testing to set, this the paper established a this mathematical model of continuous actions based on Gaussian sEMG energy curve, in which the energy threshold was set according to the distribution of Gaussian signal section, and differentiated the action signals from no-action signals combined with energy comparison method. The experiment results showed the method can achieve continuous repetitive action segmentation, and compared with manual segmentation of the same signal, has a higher degree of coincidence.
