Extraction of MUAP from NEMG Signal Using Self-organization Competing NN
- VernacularTitle:利用自组织竞争神经网络提取NEMG信号的MUAP模板
- Author:
Jihai YANG
1
;
Xiang CHEN
;
Yujun LI
;
Zhanhui ZHONG
;
Zhi LOU
Author Information
1. Univ of Science & Tech of China
- From:
Journal of Biomedical Engineering
2001;18(1):50-54
- CountryChina
- Language:Chinese
-
Abstract:
The pattern classification of motor unit action pote ntia l (MUAP) of needle electrode electromyogram (NEMG) signal by means of self-orga nization competing Neural Network(NN) has been accomplished in this paper. The p arameters and the power of excited white-noise of auto-regressive (AR) model a re taken as the feature of MUAP. The results of simulated NEMG and real NEMG all show that this method of classification is very effective and correct, and thus it presents a new approach to the extraction of MUAP template in the study of decomposition of NEMG.
