DocumentCode :
683780
Title :
Surface EMG pre-processing techniques for the detection of common input to motor neuron populations
Author :
Istenic, Rok ; Negro, Francesco ; Holobar, Ales ; Zazula, D. ; Farina, Dario
Author_Institution :
Dept. of Neurorehabilitation Eng., Univ. Med. Center, Gottingen, Germany
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
256
Lastpage :
259
Abstract :
In this paper we compared four surface EMG preprocessing techniques to improve the detection of common input to two motor neuron populations. We proposed multichannel approach named Activity index and its improvement higherorder Activity index. Both methods were compared to raw and rectified EMG. Techniques were evaluated on simulated EMG signals of two motor neuron populations and EMG-EMG coherence was used as a measure. Higher-order Activity index performed better than original Activity index, coherence values were in the range of rectified EMG.
Keywords :
cellular biophysics; electromyography; medical signal detection; medical signal processing; neurophysiology; EMG signal simulation; EMG-EMG coherence values; electromyography; higher-order activity index; motor neuron population detection; multichannel approach; surface EMG preprocessing techniques; Coherence; Cutoff frequency; Electromyography; Indexes; Muscles; Neurons; Sociology; EMG-EMG coherence; activity index; motor neuron model; surface EMG;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2760-9
Type :
conf
DOI :
10.1109/BMEI.2013.6746944
Filename :
6746944
Link To Document :
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