Open Access

Real-Time Cardiac Arrhythmia Detection Using WOLA Filterbank Analysis of EGM Signals

EURASIP Journal on Advances in Signal Processing20072007:076256

https://doi.org/10.1155/2007/76256

Received: 27 April 2006

Accepted: 13 October 2006

Published: 14 January 2007

Abstract

Novel methods of cardiac rhythm detection are proposed that are based on time-frequency analysis by a weighted overlap-add (WOLA) oversampled filterbank. Cardiac signals are obtained from intracardiac electrograms and decomposed into the time-frequency domain and analyzed by parallel peak detectors in selected frequency subbands. The coherence (synchrony) of the subband peaks is analyzed and employed to detect an optimal peak sequence representing the beat locations. By further analysis of the synchrony of the subband beats and the periodicity and regularity of the optimal beat, various possible cardiac events (including fibrillation, flutter, and tachycardia) are detected. The Ann Arbor Electrogram Library is used to evaluate the proposed detection method in clean and in additive noise. The evaluation results show that the method never misses any episode of fibrillation or flutter in clean or in noise and is robust to far-field R-wave interference. Furthermore, all other misclassification errors were within the acceptable limits.

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Authors’ Affiliations

(1)
AMI Semiconductor Canada Company

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Copyright

© Hamid Sheikhzadeh et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.