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Suppression of Ventricular Activity in the Surface Electrocardiogram of Atrial Fibrillation

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Independent Component Analysis and Blind Signal Separation (ICA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3195))

Abstract

The analysis of the surface electrocardiogram is potentially useful for the study of atrial fibrillation. Since the ventricular activity is much stronger than the atrial activity, one has to suppress it. To this end, we applied two ICA algorithms to a data set of surface electrocardiogram signals recorded in clinical conditions. We also propose a procedure to judge the quality of the suppression of ventricular activity and the extraction of atrial activity. We apply this procedure to our extracted activities and discuss our results.

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References

  1. Köhler, B.-U., Hennig, C., Orglmeister, R.: The Principles of Software QRS Detection. IEEE Engineering in medecine and biology, 42–57 (2002)

    Google Scholar 

  2. Stridh,M., Sörnmo,L.: Spatiotemporal QRST cancellation techniques for atrial fibrillation analysis in the surface ECG. Signal Processing Report SPRN-44, pp. 1–30 (1998)

    Google Scholar 

  3. Rieta, J.J., Zarzoso, V., Millet-Roig, J., Garc´ıa-Civera, R., Ruiz-Granell, R.: Atrial Activity Extraction Based on Blind Source Separation as an Alternative to QRST Cancellation for Atrial Fibrillation Analysis. In: IEEE Computers in Cardiology, Boston, MA, vol. 27, pp. 69–72 (2000)

    Google Scholar 

  4. Castells, F., Igual, J., Rieta, J.-J., Sanchez, C., Millet, J.: Atrial Fibrillation Analysis Based on ICA Including Statistical and Temporal Source Information. In: ICASSP 2003, Hong Kong, pp. 59–64 (2003)

    Google Scholar 

  5. Zarzoso, V., Nandi, A.K.: Blind Separation of Independent Sources for Virtually Any Source Probability Density Function. IEEE Trans. Signal processing 47-9, 2419–2432 (1999)

    Article  Google Scholar 

  6. Millet-Roig, J., Rieta, J.J., Zarzoso, V., Cebrián, A., Castells, F., Sánchez, C., García- Civera, R.: Surface-ECG Atrial Activity Extraction via Blind Source Separation: Spectral Validation. In: IEEE Computers in Cardiology, Memphis, TN, vol. 29, pp. 605–608 (2002)

    Google Scholar 

  7. Zarzoso, V., Nandi, A.K.: Adaptive Blind Source Separation for Virtually Any Source Probability Density Function. IEEE Trans. on signal processing 48-2, 477–488 (2000)

    Article  Google Scholar 

  8. Fiori, S.: Hybrid independent component analysis by adaptive LUT activation function neurons. Neural Networks 15, 85–94 (2002)

    Article  Google Scholar 

  9. Stewart, S., Hart, C.L., Hole, D.J., McMurray, J.J.: Population prevalence, incidence, and predictors od atrial fibrillation in the Renfrew/Paisley study. Heart 86, 516–521 (2001)

    Article  Google Scholar 

  10. Kannel, W.B., Wolf, P.A., Benjamin, E.J., Levy, D.: Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates. Am. J. Cardiol. 82, 2–9 (1998)

    Article  Google Scholar 

  11. Furberg, C.D., et al.: Prevalence of atrial fibrillation in elderly subjects (the Cardiovascular Health Study). Am. J. Cardiol. 74, 236–241 (1994)

    Article  Google Scholar 

  12. Psaty, B.M., et al.: Incidence of and risk factors for atrial fibrillation in older adults. Circulation 96, 2455–2461 (1997)

    Article  Google Scholar 

  13. Wolf, P.A., Abbott, R.D., Kannel, W.B.: Atrial fibrillation: a major contributor to stroke in the elderly: the Framingham Study. Arch. Intern. Med. 147, 1561–1564 (1978)

    Article  Google Scholar 

  14. Benjamin, E.J.: Impact of atrial fibrillation on the risk of death: the Framingham Heart Study. Circulation 98, 946–952 (1991)

    Article  Google Scholar 

  15. Wolf, P.A., Abbott, R.D., Kannel, W.B.: Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 22, 983–988 (1991)

    Article  Google Scholar 

  16. Shinbane, J.S., et al.: Tachycardia-induced cardiomyopathy: a review of animal models and clinical studies. J. Am. Coll. Cardio. 29, 709–715 (1997)

    Article  Google Scholar 

  17. Haykin, S.: Unsupervised adaptive filtering, vol. 1. J. Wiley & Sons, N.Y (2000)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Signal Processing Institute, EPFL, Lausanne, Switzerland

    Mathieu Lemay, Jean-Marc Vesin & Zenichi Ihara

  2. Division of cardiology, CHUV, Lausanne, Switzerland

    Lukas Kappenberger

Authors
  1. Mathieu Lemay
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  2. Jean-Marc Vesin
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  3. Zenichi Ihara
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  4. Lukas Kappenberger
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Editor information

Editors and Affiliations

  1. Dept. of Architecture and Computer Technology, University of Granada, Spain

    Carlos G. Puntonet  & Alberto Prieto  & 

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© 2004 Springer-Verlag Berlin Heidelberg

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Lemay, M., Vesin, JM., Ihara, Z., Kappenberger, L. (2004). Suppression of Ventricular Activity in the Surface Electrocardiogram of Atrial Fibrillation. 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_138

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  • DOI: https://doi.org/10.1007/978-3-540-30110-3_138

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23056-4

  • Online ISBN: 978-3-540-30110-3

  • eBook Packages: Springer Book Archive

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