ECG-based feature tracking in atrial tachyarrhythmias

Summary, in English

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

• Author: Martin Stridh; Leif Sörnmo; S.B. Olsson
• Department/s: Department of Electrical and Information Technology
• Publishing year: 2003
• Language: English
• Pages: 721-724
• Publication/Series: Computers in Cardiology 2003 (IEEE Cat. No.03CH37504)
• Volume: 30
• Links: http://dx.doi.org/10.1109/CIC.2003.1291257
• Document type: Conference paper
• Publisher: IEEE - Institute of Electrical and Electronics Engineers Inc.
• Topic: Electrical Engineering, Electronic Engineering, Information Engineering
• 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
• Conference name: Computers in Cardiology 2003
• Conference date: 2003-09-21 - 2003-09-24
• Conference place: Thessaloniki Chalkidiki, Greece
• Status: Published
• ISBN/ISSN/Other: ISBN: 0-7803-8170-X