Abstract
Surface electromyogram (SEMG) decomposition technique suitable for identification of complete motor unit (MU) firing patterns during low level isometric voluntary muscle contractions is introduced. The approach is based on joint-diagonalization of whitened correlation matrices of SEMG recordings. It supposes constant and finite system impulse responses and more measurements than sources. Preliminary tests on synthetic signals prove 95% accuracy in detection of source pulses down to the signal-to-noise ratio of 10 dB. In the case of real SEMG, recorded with an array of 61 electrodes during low level contraction of biceps brachii muscle of three subjects 2.5 MUs active with the mean firing rate of 11.8 Hz were identified on average.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Abed-Meraim, K., Belouchrani, A., Leyman, A.R.: Blind Source Separation Using Time- Frequency Distributions. In: Boashash, B. (ed.) Time frequency Signal Processing & Applications, Elsevier, Amsterdam (2003)
Belouchrani, A., Abed-Meraim, K.: Blind source separation based on time-frequency signal representation. IEEE Trans. On Signal Processing 46(11), 2888–2898 (1998)
Cardoso, J.F., Souloumiac, A.: Jacobi angles for simultaneous diagonalization. SIAM J. Mat. Anal. Appl. 17(1), 161–164 (1996)
Holobar, A., Zazula, D.: A novel approach to convolutive blind separation of close-toorthogonal pulse sources using second-order statistics. In: EUSIPCO (2004)
Hyvarinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. John Wiley & sons, Inc, New York (2001)
Farina, D., Merletti, R.: A novel approach for precise simulation of the EMG signal detected by surface electrodes. IEEE Trans. Biomed. Eng. 48, 637–646 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Holobar, A., Zazula, D. (2004). Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_133
Download citation
DOI: https://doi.org/10.1007/978-3-540-30110-3_133
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23056-4
Online ISBN: 978-3-540-30110-3
eBook Packages: Springer Book Archive