Title :
A study on surface EMG generation model and its extraction
Author :
Zou, Ling ; Ma, Xiaojuan ; Zhou, Tiantong ; Ma, Zhenghua
Author_Institution :
Sch. of Inf. & Sci. & Eng., Changzhou Univ., Changzhou, China
Abstract :
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.
Keywords :
electromyography; independent component analysis; medical signal processing; neurophysiology; signal sources; white noise; ICA algorithm; MUAPT; electrocardio signal; independent component analysis; motor unit action potential train; noisy background; power frequency interference signal; signal decomposition method Informax; simulated sEMG signal; single MUAP; single fiber action potential; surface EMG generation model; surface electromyography signal model; tripolar signal source model; white noise; Biological system modeling; Electric potential; Electromyography; Firing; Mathematical model; Muscles; Recruitment; Independent Component Analysis; Motor Unit Action Potential; Recruitment and Firing; sEMG Simulation;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
DOI :
10.1109/BMEI.2011.6098391
