ECG ARTIFACT REMOVAL FROM SURFACE EMG SIGNALS BY COMBINING EMPIRICAL MODE DECOMPOSITION AND INDEPENDENT COMPONENT ANALYSIS

Joachim Taelman, Bogdan Mijovic, Sabine Van Huffel, Stéphanie Devuyst, Thierry Dutoit

2011

Abstract

The electrocardiography (ECG) artifact in surface electromyography (sEMG) is a major source of noise influencing the analyses. Moreover, in many cases the sEMG signal is the only available signal, making this removal more complicated. We compare the performance of two recently described single channel blind source separation methods with the commonly used template subtraction method on both simulations and real-life data. These two methods decompose a single channel recording into a multichannel representation before applying independent component analysis to these multichannel data. The decomposition methods are the wavelet decomposition and ensemble empirical mode decomposition (EEMD). The EEMD based single channel technique shows better performance compared to template subtraction and the wavelet based alternative for both high and low signal-to-artifact ratio and for simulated and real-life data, but at the expense of a higher computational load. We conclude that the EEMD based method has its potential in eliminating spike-like artifacts in electrophysiological signals.

References

  1. Azzerboni, B., Carpentieri, M., La Foresta, F., Morabito, F. C., 2004. Neural-ICA and Wavelet Transform for artifacts removal in EMG. In Proc. Of the IEEE International Joint Conference on Neural Networks,. 4, 3223-3228.
  2. Bartolo, A., Roberts, C., Dzwonczyk, R., Goldman, E., 1996. Analysis of diaphragm EMG signals: comparison of gating vs. subtraction for removal of ECG contamination. In J. Appl. Physiol, 80, 1898- 1902.
  3. Davies, M. E., James, C. J., 2007. Source separation using single channel ICA. In Signal Processing, 87 (8), 1819 - 1832.
  4. Huang, N. E., Wu, M. L., Long, S. R., Shen, S. S., Qu, W. D., Gloersen, P., Fan, K. L., 1998. The Empirical Mode Decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. In Proceedings of Royal Society Lond, 454A, 1971, 903- 993.
  5. Hyvarinen, A., Oja, E., 2000. Independent Component Analysis: algorithms and applications. In Neural Networks, 13 (4-5), 411 - 430.
  6. Mijovic, B., De Vos, M., Gligorijevic, I., Taelman J., Van Huffel, S., 2010. Source separation from singlechannel recordings by combining empirical mode decomposition and independent component analysis. In IEEE transactions on biomedical engineering. Accepted.
  7. Taelman, J., Spaepen, A., Van Huffel, S., 2007. Wavelet Independent Component Analysis to remove electrocardiography contamination in surface electromyography. In Proceedings of Engineering in Medicine and Biology Society, 2007, pp. 682-685.
  8. Zhou, P., Kuiken, T. A., 2006 Eliminating cardiac contamination from myoelectric control signals developed by targeted muscle reinnervation. In Physiol Meas, 27, 1311-1327.
Download


Paper Citation


in Harvard Style

Taelman J., Mijovic B., Van Huffel S., Devuyst S. and Dutoit T. (2011). ECG ARTIFACT REMOVAL FROM SURFACE EMG SIGNALS BY COMBINING EMPIRICAL MODE DECOMPOSITION AND INDEPENDENT COMPONENT ANALYSIS . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 421-424. DOI: 10.5220/0003136804210424


in Bibtex Style

@conference{biosignals11,
author={Joachim Taelman and Bogdan Mijovic and Sabine Van Huffel and Stéphanie Devuyst and Thierry Dutoit},
title={ECG ARTIFACT REMOVAL FROM SURFACE EMG SIGNALS BY COMBINING EMPIRICAL MODE DECOMPOSITION AND INDEPENDENT COMPONENT ANALYSIS},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={421-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003136804210424},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - ECG ARTIFACT REMOVAL FROM SURFACE EMG SIGNALS BY COMBINING EMPIRICAL MODE DECOMPOSITION AND INDEPENDENT COMPONENT ANALYSIS
SN - 978-989-8425-35-5
AU - Taelman J.
AU - Mijovic B.
AU - Van Huffel S.
AU - Devuyst S.
AU - Dutoit T.
PY - 2011
SP - 421
EP - 424
DO - 10.5220/0003136804210424