Prony residual analysis for the identification of cardiac arrhythmias

Authors:
Szi-Wen Chen;P. M. Clarkson
Affiliations:
Biomed. Eng. Center, Ohio State Univ., Columbus, OH, USA;Biomed. Eng. Center, Ohio State Univ., Columbus, OH, USA
Venue:
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Year:
1995

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Abstract

An investigation into the use of Prony modeling for the identification of late potentials (LPs) from signal-averaged electrocardiograms (SAECGs) is described. We develop a noninvasive method, based on the short-time Prony modeling algorithm, to extract a diagnostic feature, dubbed the Prony residual marker (PRM), from the SAECG waveform. The PRM is used as a marker for the presence of LPs and is thus used to predict the diagnostic outcome of invasive electrophysiologic study.