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Application of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation

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Author

Summary, in English

Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. At an early stage of the disease, AF may terminate spontaneously and is then referred to as paroxysmal AF. On the other hand, when external intervention is required for the arrhythmia to terminate, it is referred to as persistent AF. In this work, a method to discriminate between paroxysmal and persistent AF in the long-term ECGs is presented. The dominant frequency as well as the organization of the atrial activity are employed to characterize AF. The dominant atrial frequency (DAF) is estimated using hidden Markov model based frequency tracking, and organization is estimated by the sample entropy of the main atrial wave (MAW) and the first two harmonics, respectively. Long-term variations in DAF and organization from 50 ECG recordings were evaluated, showing that episodes of paroxysmal AF were consistently associated with lower DAF and organization of the MAW and the harmonics, than was persistent AF. Discrimination of paroxysmal and persistent AF resulted in classification rates of 84.1±26.1%, thus suggesting that it possible to discriminate between paroxysmal and persistent AF in patients without previously known AF history.

Publishing year

2010

Language

English

Pages

4558-4561

Publication/Series

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • diseases
  • electrocardiography
  • hidden Markov models
  • physiological models
  • ECG
  • arrhythmia
  • atrial fibrillation
  • dominant atrial frequency
  • entropy
  • main atrial wave

Conference name

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010

Conference date

2010-08-31 - 2010-09-04

Conference place

Buenos Aires, Argentina

Status

Published

Research group

  • Signal Processing

ISBN/ISSN/Other

  • ISSN: 1557-170X
  • ISBN: 978-1-4244-4123-5