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ECG-based feature tracking in atrial tachyarrhythmias

Publiceringsår: 2003
Språk: Engelska
Sidor: 721-724
Publikation/Tidskrift/Serie: Computers in Cardiology 2003 (IEEE Cat. No.03CH37504)
Volym: 30
Dokumenttyp: Konferensbidrag
Förlag: IEEE--Institute of Electrical and Electronics Engineers Inc.


A new method for extraction of general features in ECGs with atrial tachyarrhythmias is presented. The method is based on our recent method for atrial signal characterization which sequentially decomposes a time-frequency distribution into a set of parameters. In addition to rate and amplitude, the method tracks information on regularity, waveform, and structure of the atrial signal. The proposed method includes a feature tracker which continuously tracks the structure of the harmonic spectral pattern in order to determine which of a set of archetype waveforms that is best matched. The method also includes a trend detector, which detects significant long-term changes in the time series of frequency estimates. The results, illustrated by signals obtained during different interventions and a test signal, show that the algorithms can discriminate between different types of atrial rhythms


  • Electrical Engineering, Electronic Engineering, Information Engineering
  • atrial signal structure
  • harmonic spectral pattern
  • trend detector
  • time series
  • atrial signal waveform
  • atrial signal regularity
  • time-frequency distribution
  • atrial signal characterization
  • feature extraction
  • ECG-based feature tracking
  • atrial tachyarrhythmias


Computers in Cardiology 2003
  • ISBN: 0-7803-8170-X

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