Journal of Electrocardiology
Volume 42, Issue 6 , Pages 517-521 , November 2009

Development of a toolbox for electrocardiogram-based interpretation of atrial fibrillation

  • Roger Abächerli, PhD

      Affiliations

    • SCHILLER AG, Biomed. Research and Signal Processing, Baar, Switzerland
    • Corresponding Author InformationCorresponding author. SCHILLER AG, Altgasse 68, Biomed. Research and Signal Processing, 6341 Baar, Switzerland.
    • ,
  • Remo Leber, MSE

      Affiliations

    • SCHILLER AG, Biomed. Research and Signal Processing, Baar, Switzerland
    • ,
  • Mathieu Lemay, PhD

      Affiliations

    • Signal Processing Laboratory 1, EPFL and Lausanne Heart Group, Switzerland
    • ,
  • Jean-Marc Vesin, PhD

      Affiliations

    • Signal Processing Laboratory 1, EPFL and Lausanne Heart Group, Switzerland
    • ,
  • Adriaan van Oosterom, PhD

      Affiliations

    • Signal Processing Laboratory 1, EPFL and Lausanne Heart Group, Switzerland
    • ,
  • Hans-Jakob Schmid, MSE

      Affiliations

    • SCHILLER AG, Biomed. Research and Signal Processing, Baar, Switzerland
    • ,
  • Lukas Kappenberger, PhD

      Affiliations

    • Signal Processing Laboratory 1, EPFL and Lausanne Heart Group, Switzerland

Received 3 April 2009

References 

  1. Kannel WB, Abbott RD, Savage DD, McNamara PM. Epidemiologic features of chronic atrial fibrillation: the Framingham study. N Engl J Med. 1982;306:1018
  2. Onundarson PT, Thorgeirsson G, Jonmundsson E, Sigfusson N, Hardarson T. Chronic atrial fibrillation—epidemiologic features and 14 year follow-up: a case control study. Eur Heart J. 1987;8:521
  3. Fuster V, Ryden LE, Cannom DS, et al. ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation—executive summary. Rev Port Cardiol. 2007;26:383
  4. Raine D, Langley P, Murray A, Dunuwille A, Bourke JP. Surface atrial frequency analysis in patients with atrial fibrillation: a tool for evaluating the effects of intervention. J Cardiovasc Electrophysiol. 2004;15:1021
  5. Raine D, Langley P, Murray A, Furniss SS, Bourke JP. Surface atrial frequency analysis in patients with atrial fibrillation: assessing the effects of linear left atrial ablation. J Cardiovasc Electrophysiol. 2005;16:838
  6. Castells F, Rieta JJ, Millet J, Zarzoso V. Associate. Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias. IEEE Trans Biomed Eng. 2005;52:258
  7. Lemay M, Vesin JM, van Oosterom A, Jacquemet V, Kappenberger L. Cancellation of ventricular activity in the ECG: evaluation of novel and existing methods. IEEE Trans Biomed Eng. 2007;54:542
  8. Stridh M, Sornmo L. Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation. IEEE Trans Biomed Eng. 2001;48:105
  9. van Oosterom A. The dominant T wave and its significance. J Cardiovasc Electrophysiol. 2003;14(10 Suppl):S180
  10. Jacquemet V, van Oosterom A, Vesin JM, Kappenberger L. Analysis of electrocardiograms during atrial fibrillation. A biophysical model approach. IEEE Eng Med Biol Mag. 2006;25:79
  11. van Oosterom A, Jacquemet V. Genesis of the P wave: atrial signals as generated by the equivalent double layer source model. Europace. 2005;7(Suppl 2):21

PII: S0022-0736(09)00278-7

doi: 10.1016/j.jelectrocard.2009.07.006

Journal of Electrocardiology
Volume 42, Issue 6 , Pages 517-521 , November 2009

Article Tools

* Image Usage & Resolution