Devuyst, Stéphanie ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Dutoit, Thierry ; Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Language :
English
Title :
ECG artifact removal from surface EMG signals by combining empirical mode decomposition and independent component analysis
Publication date :
29 January 2011
Event name :
International Conference on Bio-inspired Systems and Signal Processing, subconference of the 4th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2011)
Event place :
Rome, Italy
Event date :
2011
Research unit :
F105 - Information, Signal et Intelligence artificielle
Research institute :
R500 - Institut des Sciences et du Management des Risques
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. (Pubitemid 40011550)
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.
Davies, M. E., James, C. J., 2007. Source separation using single channel ICA. In Signal Processing, 87 (8), 1819-1832.
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.
Hyvarinen, A., Oja, E., 2000. Independent Component Analysis: algorithms and applications. In Neural Networks, 13 (4-5), 411-430. (Pubitemid 30447427)
Mijovic, B., De Vos, M., Gligorijevic, I., Taelman J., Van Huffel, S., 2010. Source separation from single-channel recordings by combining empirical mode decomposition and independent component analysis. In IEEE transactions on biomedical engineering. Accepted.
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.
Zhou, P., Kuiken, T. A., 2006 Eliminating cardiac contamination from myoelectric control signals developed by targeted muscle reinnervation. In Physiol Meas, 21, 1311-1327.