Medical Engineering & Physics
Volume 28, Issue 8 , Pages 802-808 , October 2006

Predicting spontaneous termination of atrial fibrillation using the surface ECG

  • Frida Nilsson

      Affiliations

    • Signal Processing Group, Department of Electrical Engineering, Lund University, Box 118, S-221 00 Lund, Sweden
    • Corresponding Author InformationCorresponding author. Tel.: +46 46 2229775; fax: +46 46 2224718.
    • ,
  • Martin Stridh

      Affiliations

    • Signal Processing Group, Department of Electrical Engineering, Lund University, Box 118, S-221 00 Lund, Sweden
    • ,
  • Andreas Bollmann

      Affiliations

    • Department of Cardiology, Good Samaritan Hospital and Harbor-UCLA Medical Center, Los Angeles, USA
    • ,
  • Leif Sörnmo

      Affiliations

    • Signal Processing Group, Department of Electrical Engineering, Lund University, Box 118, S-221 00 Lund, Sweden

Received 21 February 2005 ,Revised 20 November 2005 ,Accepted 25 November 2005.

References 

  1. Fuster V, Ryden L, Asinger R, Cannom D, Crijns H, Frye R, et al. ACC/AHA/ESC guidelines for the management of patients with atrial fibrillation: executive summary a report of the American College of Cardiology/American Heart Association task force on practice guidelines and the European Society of Cardiology Committee for Practice Guidelines and Policy Conferences (committee to develop guidelines for the management of patients with atrial fibrillation) developed in collaboration with the north American Society of Pacing and Electrophysiology. Circulation. 2001;104:2118–2150
  2. Bollmann A. Quantification of electrical remodeling in human atrial fibrillation. Cardiovasc Res. 2000;47:207–209
  3. Al-Khatib S, Wilkinson W, Sanders L, McCarthy E, Pritchett E. Observations on the transition from intermittent to permanent atrial fibrillation. Am Heart J. 2000;140(July):142–145
  4. Rieta JJ, Zarzoso V, Millet-Roig J, Garcia-Civera R, Ruiz-Granell R. Atrial activity extraction based on blind source separation as an alternative QRST cancellation for atrial fibrillation analysis. Comput Cardiol. 2000;27:69–72
  5. Langley P, Bourke JP, Murray A. Frequency analysis of atrial fibrillation. Comput Cardiol. 2000;27:65–68
  6. Stridh M, Sörnmo L. Spatiotemporal QRST cancellation techniques for analysis of atrial fibrillation. IEEE Trans Biomed Eng. 2001;48(1):105–111
  7. Slocum J, Byrom E, McCarthy L, Sahakian A, Swiryn S. Computer detection of atrioventricular dissociation from surface electrocardiograms during wide QRS complex tachycardia. Circulation. 1985;72:1028–1036
  8. Bollmann A, Kanuru N, McTeague K, Walter P, DeLurgio DB, Langberg J. Frequency analysis of human atrial fibrillation using the surface electrocardiogram and its response to ibutilide. Am J Cardiol. 1998;81:1439–1445
  9. Holm M, Pehrsson S, Ingemansson M, Sörnmo L, Johansson R, Sandhall L, et al. Non-invasive assessment of atrial refractoriness during atrial fibrillation in manintroducing, validating and illustrating a new ECG method. Cardiovasc Res. 1998;38:69–81
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  12. Richman SJ, Moorman JR. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol. 2000;278:H2039–H2049
  13. Censi F, Barbara V, Bartolini P, Calcagnini G, Michelucci A, Cerutti S. Nonlinear coupling of atrial activation processes during atrial fibrillation in humans. Biol Cybern. 2001;85:195–201
  14. Su Y, Kao T, Tso H, Lin Y, Chen S, Tai C. Nonlinear analysis of human atrial flutter and fibrillation using the surface electrocardiogram. Comput Cardiol. 2004;31:441–444
  15. Stridh M, Sörnmo L, Olsson SB. ECG-based feature tracking in atrial tachyarrhythmias. Comput Cardiol. 2003;30:721–724
  16. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PC, Mark RG, et al. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation. 2000;101:e215–e220
  17. Bollmann A, Sonne K, Esperer H, Toepffer I, Langberg J, Klein H. Non-invasive assessment of fibrillatory activity in patients with paroxysmal and persistent atrial fibrillation using the Holter ECG. Cardiovasc Res. 1999;44:60–66
  18. Bollmann A, Binias K, Toepffer I, Moiling J, Geller C, Klein H. Importance of left atrial diameter and atrial fibrillatory frequency for conversion of persistent atrial fibrillation with oral flecainide. Am J Cardiol. 2002;90:1011–1014
  19. Nilsson F, Stridh M, Bollmann A, Sörnmo L. Predicting spontaneous termination of atrial fibrillation with time–frequency information. Comput Cardiol. 2004;31:657–660
  20. Bollmann A, Langberg J. Spectral analysis of atrial electrograms predicts spontaneous termination of atrial fibrillation. Pacing Clin Electrophysiol. 1998;979
  21. Mainardi L, Calcagnini G, Porta A, Censi F, Bartolini P, Cerutti S. Linear and non-linear parameters for the classification of atrial fibrillation episodes from intra-atrial signals. Comput Cardiol. 1999;26:691–694

PII: S1350-4533(05)00252-3

doi: 10.1016/j.medengphy.2005.11.010

Medical Engineering & Physics
Volume 28, Issue 8 , Pages 802-808 , October 2006

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