A Study on Surface EMG Generation Model and Its Extraction

摘要：

A surface electromyography (sEMG) signal model is established and extracted from noisy background. Firstly, single fiber action potential (SFAP), motor unit action potential (MUAP) and motor unit action potential train (MUAPT) are simulated based on the tripolar signal source model, and then the sEMG is obtained. Secondly, the simulated sEMG signal is extracted from the mixed signals that consists of white noises, power frequency interference signal and electrocardio signal by independent component analysis (ICA) algorithms, and the most effective signal decomposition method Informax is chosen. It will lay the foundation for further decomposing the signals into single MUAP.

关键词： sEMG Simulation Recruitment and Firing Motor Unit Action Potential Independent Component Analysis

作者: ling Zou Xiaojuan Ma Tiantong Zhou Zhenghua Ma

作者单位: School of Information and Science and Engineering Changzhou University Changzhou China State Key Lab School of Information and Science and Engineering Changzhou University Changzhou China School of Information and Science and Engineering Changzhou University Changzhou China State Key La

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 910-914

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）