Nothing Special   »   [go: up one dir, main page]

Skip to main content

Estimation of Atrial Multiple Reentrant Circuits from Surface ECG Signals Based on a Vectorcardiographic Approach

  • Conference paper
Functional Imaging and Modeling of the Heart (FIMH 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5528))

Abstract

This paper presents a simulation study on the identifiability of multiple reentrant circuits on the basis of the vectorcardiogram. The methods involved include an advanced tracking of the basic frequencies of the dominant rotors and a supporting identification based on the observed loops of their vectorcardiogram. The vector cardiogram was derived from body surface potentials spatially sampled by different lead systems. The results indicate that up to three independent circuits can be identified reliably.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Haisaguerre, M., Jais, P., Shah, D.C., Takahashi, A., Hocini, M., Quiniou, G., Garrigue, S., Le Mouroux, A., Le Metayer, P., Clementy, J.: Spontaneous initiation of atrial fibrillation by ectopic beats originating in the pulmonary veins. N. Eng. J. Med. 339, 659–666 (1998)

    Article  Google Scholar 

  2. Allessie, M.A., Konings, K., Kirchhof, C., Wijffels, M.: Electrophysiologic mechanisms of perpetuation of atrial fibrillation. Am. J. Cardiol. 77(3), 10A–23A (1996)

    Article  Google Scholar 

  3. Jalife, J.: Rotors and spiral waves in atrial fibrillation. J. Cardiovasc. Electrophysiol. 14, 776–780 (2003)

    Article  Google Scholar 

  4. Xie, F., Garfinkel, A., Weiss, J.N.: Electrical refractory period restitution and spiral wave reentry in simulated cardiac tissue. Am. J. Physiol. (Heart Circ. Physiol.) 283, H448–H460 (2003)

    Article  Google Scholar 

  5. Wharton, J.: Ablation of atrial fibrillation: a procedure come of age? Curr. Control Trials Cardiovasc. Med. 2, 67–70 (2001)

    Article  Google Scholar 

  6. Stridh, M., Sörnmo, L., Meurling, C.J., Olsson, S.B.: Sequential characterization of atrial tachyarrhtyhmias based on ECG time-frequency analysis. IEEE Trans. Biomed. Eng. 51(1), 100–114 (2004)

    Article  Google Scholar 

  7. Bollmann, A., Husser, D., Mainardi, L., Lombardi, F., Langley, P., Murray, A., Rieta, J.J., Millet, J., Olsson, S.B., Stridth, M., Sörnmo, L.: Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications. Europace 8(11), 911–926 (2006)

    Article  Google Scholar 

  8. Lemay, M., Vesin, J.M., Forclaz, A., Kappenberger, L., van Oosterom, A.: Spatial dynamics of atrial activity assessed by the vectocardiogram: from sinus rhythm to atrial fibrillation. Europace 9(6), vi109–vi118 (2007)

    Google Scholar 

  9. Lemay, M., Jacquemet, V., Vesin, J.M., van Oosterom, A.: Mean firing rate of atrial fibrillation as estimated from the ECG: Evaluation using a biophysical model. In: Computers in Cardiology 2007, vol. 34, pp. 37–40 (2007)

    Google Scholar 

  10. Lemay, M., Dang, L., Vesin, J.M.: Quasi-periodic atrial activity components in the ECG used to predict the success of electrical cardioversion of atrial fibrillation. In: Computers in Cardiology 2008, pp. 125–128 (2008)

    Google Scholar 

  11. Uldry, L., Duchêne, C., Prudat, Y., Murray, M.M., Vesin, J.M.: Adaptive tracking of EEG components. In: Advanced Biosignal Processing. Springer, Heidelberg (in press, 2009)

    Google Scholar 

  12. Gulrajani, R.M.: Bioelectricity and Biomagnetism. John Wiley & Sons, Chichester (1998)

    Google Scholar 

  13. Oostendorp, T., van Oosterom, A.: Source parameter estimation in inhomogeneous volume conductors of arbitrary shape. IEEE Transactions on Biomedical Engineering 36(3), 382–391 (1989)

    Article  Google Scholar 

  14. van Oosterom, A., Jacquemet, V.: Genesis of the P wave: atrial signals as generated by the equivalent double layer source model. Europace 7(suppl. 2), S21–S29 (2005)

    Article  Google Scholar 

  15. Liao, H.E.: Two discrete oscillator based adaptive notch filters OSC ANFs for noisy sinusoids. IEEE Transactions on Acoustics, Speech, and Signal Processing 53(2), 528–538 (2005)

    Article  MathSciNet  Google Scholar 

  16. Lemay, M., Prudat, Y., Jacquemet, V., Vesin, J.M.: Phase-rectified signal averaging used to estimate the sominant frequencies in ecg signals during atrial fibrillation. IEEE Trans. Biomed. Eng. (2008) TBME.2008.2001296

    Google Scholar 

  17. Ihara, Z., van Oosterom, A., Jacquemet, V., Hoekema, R.: Adaptation of the standard 12-lead electrocardiogram system dedicated to the analysis of atrial fibrillation. J. Electrocardiol. 40(1), e1–e68 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Duchêne, C., Lemay, M., Vesin, JM., van Oosterom, A. (2009). Estimation of Atrial Multiple Reentrant Circuits from Surface ECG Signals Based on a Vectorcardiographic Approach. In: Ayache, N., Delingette, H., Sermesant, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2009. Lecture Notes in Computer Science, vol 5528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01932-6_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01932-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01931-9

  • Online ISBN: 978-3-642-01932-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics