ECG-based feature tracking in atrial tachyarrhythmias
Stridh, Martin; Sörnmo, Leif; Olsson, S.B. (2003). ECG-based feature tracking in atrial tachyarrhythmias Computers in Cardiology 2003 (IEEE Cat. No.03CH37504), 30,, 721 - 724. Computers in Cardiology 2003. Thessaloniki Chalkidiki, Greece: IEEE - Institute of Electrical and Electronics Engineers Inc.
Conference Proceeding/Paper
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Published
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English
Authors:
Stridh, Martin
;
Sörnmo, Leif
;
Olsson, S.B.
Department:
Department of Electrical and Information Technology
Abstract:
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
Keywords:
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
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