Abstract
The analysis and characterization of atrial tachyarrhythmias requires the previous estimation of the atrial activity (AA) free from any ventricular activity and other artefacts. This contribution considers a blind source separation (BSS) model to separate the AA from multilead electrocardiograms (ECGs). Previously proposed BSS methods for AA extraction exploit only the spatial diversity introduced by the multiple electrodes. However, AA typically shows certain degree of temporal correlation, featuring a narrowband spectrum. Taking advantage of this observation, we put forward a novel two-step BSS-based technique which exploits both spatial and temporal information. The spatiotemporal BSS algorithm is validated on real ECGs from a significant number of patients, and proves consistently superior to a spatial-only ICA method. In real ECG recordings, performance can be measured by the main frequency peak and the spectral concentration. The spatiotemporal algorithm outperforms the ICA method, obtaining a spectral concentration of 58.8% and 44.7%, respectively.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Makeig, S., Bell, A.J., Jung, T.P., Sejnowski, T.J.: Independent component analysis of electroencephalographic data. Advances in Neural Information Processing Systems 8, 145–151 (1996)
Barros, A.K., Mansour, A., Ohnishi, N.: Adaptive blind elimination of artifacts in ECG signals. In: I&ANN 1998, Tenerife, Spain, February 1998, pp. 1380–1386 (1998)
McKeown, M.J., Makeig, S., Brown, G.G., Jung, T.P., Kindermann, S.S., Sejnowski, T.J.: Analysis of fMRI data by blind separation into independent spatial components. Human Brain Mapping 6(3), 160–188 (1998)
Rieta, J.J., Millet-Roig, J., Zarzoso, V., Castells, F., Sánchez, C., García-Civera, G., Morell, S.: Atrial fibrillation, atrial flutter and normal sinus rhythm discrimination by means of blind source separation and spectral parameters extraction, IEEE Computers in Cardiology, Memphis, September 2002, pp. 25–28 (2002)
Rieta, J.J., Castells, F., Sanchez, C., Zarzoso, V., Millet, J.: Atrial activity extraction for atrial fibrillation analysis using blind source separation. IEEE Trans. Biomed. Eng. 51, 1176–1186 (2004)
Castells, F., Igual, J., Rieta, J.J., Sánchez, C., Millet, J.: Atrial fibrillation analisis based on ICA including statistical and temporal source information. In: ICASSP 2003, Hong Kong, vol. V, April 2003, pp. 94–96 (2003)
Bollmann, A., Kanuru, N.K., McTeague, K.K., Walter, P.F., DeLurgio, D.B., Langberg, J.J.: Frequency analysis of human atrial fibrillation using the surface electrocardiogram and its response to ibutilide. Am. J. Cardiol. 81, 1439–1445 (1998)
Stridh, M., Sörnmo, L., Meurling, C., Olsson, B.: Characterization of atrial fibrillation using the surface ECG: Spectral analysis and timedependent properties. IEEE Trans. Biomed. Eng. 48, 19–27 (2001)
Comon, P.: Independent component analysis – a new concept? Signal Processing 36, 287–314 (1994)
Cardoso, J.-F., Souloumiac, A.: Blind beamforming for non Gaussian signals. IEE Proceedings- F 140, 362–370 (1993)
Hyvärinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. John Willey & Sons, New York (2001)
Hyvärinen, A.: Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. on Neural Networks 10, 626–634 (1999)
Belouchrani, A., Abed-Meraim, K., Cardoso, J.-F., Moulines, E.: A blind source separation technique using second-order statistics. IEEE Trans. Sig. Proc. 45, 434–444 (1997)
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
Castells, F., Igual, J., Zarzoso, V., Rieta, J.J., Millet, J. (2004). Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias. 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_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-30110-3_3
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