Predicting spontaneous termination of atrial fibrillation with time-frequency information

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Our approach to predicting spontaneous termination of atrial fibrillation (AF) is based on parameters derived from the time-frequency distribution of the residual ECG signal, resulting from spatiotemporal cancellation of QRST complexes. Each consecutive, logarithmically scaled spectrum of the time-frequency distribution of the residual ECG is modeled as a frequency shifted and amplitude scaled version of a spectral profile. Parameters characterizing AF, such as fundamental frequency, amplitude, and waveform of the fibrillation waves, are then extracted from the spectral profile. The waveform of the spectral profile is used to distinguish AF from sinus rhythm and noise, so that occasional episodes of sinus rhythm and noise can be excluded. Using these parameters, 95% of the ECGs from the training set, and 90% from the test set was correctly classified as non-terminating and terminating AF respectively.
Original languageEnglish
Title of host publicationComputers in Cardiology
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages657-660
Volume31
DOIs
Publication statusPublished - 2004
EventComputers in Cardiology 2004 - Chicago, IL, United States
Duration: 2004 Sept 192004 Sept 22

Publication series

Name
Volume31
ISSN (Print)0276-6574

Conference

ConferenceComputers in Cardiology 2004
Country/TerritoryUnited States
CityChicago, IL
Period2004/09/192004/09/22

Subject classification (UKÄ)

  • Cardiac and Cardiovascular Systems

Free keywords

  • Atrial fibrillation (AF)
  • Spatiotemporal cancellation
  • Time-frequency distribution
  • Fibrillation waves

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