Analysis of the surface electrocardiogram to predict termination of atrial fibrillation: The 2004 computers in cardiology/physioNet challenge

S. Petrutiu, Alan Varteres Sahakian*, J. Ng, S. Swiryn

*Corresponding author for this work

Research output: Contribution to journalConference article

30 Scopus citations

Abstract

Paroxysmal atrial fibrillation (AF) is self-terminating by definition, but the mechanisms by which this occurs are not well understood. Holter recordings were used to develop and test algorithms for distinguishing between AF segments that are Non-terminating (N), Terminating within a second (T), and Soon terminating (within a minute. S). From the training set, the peak frequency ranges (mean ± SD) were 4.8-6.0 (5.3±0.4) Hz for T, 4.7-6.4 (5.2±0.6) Hz for S, 4.8-7.3 (6.5±0.8) Hz for N. In 8 of 10 T recordings there was a decrease in peak frequency from the penultimate to the ultimate second and in 8 of 10 T recordings there was a decrease in peak power. The last second had a lower peak frequency for T when compared to S of the same patient in 9 of 10 patients. Between N and T we correctly classified 20 of 20 from the training set and 29 of 30 from the test set. Between S and T we correctly classified 20 of 20 from the training set and 20 of 20 from the test set.

Original languageEnglish (US)
Pages (from-to)105-108
Number of pages4
JournalComputers in Cardiology
Volume31
StatePublished - Dec 1 2004
EventComputers in Cardiology 2004 - Chicago, IL, United States
Duration: Sep 19 2004Sep 22 2004

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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