Recording and conditioning of surface EMG signal for decomposition

Jakub Otáhal, Antonín Pošusta

Abstract


Electric activity of the muscles recorded on the body surface – an electromyographic signal - is composed of several individual signals originating from surrounding motor units. Conventional surface EMG setup does not allow analyzing single motor unit firing pattern particularly because of significant signal distortions due to passive electrical properties of skin and electrodes with large surface. In our work we have tested new design of surface electrodes and its arrangement to record EMG signal suitable for further mathematical decomposition. Furthermore, we have examined convenient detection sites on the human upper extremity and the head.

Keywords


surface electromyography; decomposition; EMGLab; prosthetics

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References


Carlo J. De Luca, Alexander Adam, Robert Wotiz, L. Donald Gilmore and S. Hamid Newab. Decomposition of surface EMG signal. Journal of Neurophysiology., vol. 96, pp. 1646–1657, May. 2006.

F. Zaheer, S. H. Roy, C. J. De Luca, “Preferred sensor sites for surface EMG signal decomposition,” in IOP Publishing. [online] Jan 2012. [Available: http://iopscience.iop.org]

J. Otáhal, “Use of EMG in biomechanics,” habilitation thesis, Charles University in Prague 2012.

M. Martinková, E. Kraj?ovi?ová, R. Konopková, J. Otáhal, “Universal software for electrophysiological recordings using lowcost digitalization cards”. IFMBE Proceedings, Vol. 25/7, pp 342-344, 2009.

McGill KC, Lateva ZC, Marateb HR. EMGLAB: an interactive EMG decomposition program. J Neurosci Methods 149(2):121-133, 2005. [The software is available at http://www.emglab.net]

E. Henneman, G. Somjen, D.O. Carpenter, “Excitability and inhibitability of motoneurons of different sizes.” J. Neurophysiol. Vol.28, pp.599-620. 1965.

Florestal JR, Mathieu PA, Malanda A. Automated decomposition of intramuscular electromyographic signals. IEEE Trans Biomed Eng 53(5): 832-839, 2006. [The algorithm is available at http://www.emglab.net]


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ISSN 1801-1217 (Print)
ISSN 1805-9422 (Online)
Published by the Czech Technical University in Prague, Faculty of Mechanical Engineering