Title :
Prony residual analysis for the identification of cardiac arrhythmias
Author :
Chen, Szi Wen ; Clarkson, Peter M.
Author_Institution :
Biomed. Eng. Center, Ohio State Univ., Columbus, OH, USA
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
Keywords :
bioelectric potentials; electrocardiography; feature extraction; medical signal processing; patient diagnosis; Prony residual analysis; Prony residual marker; cardiac arrhythmias; diagnostic feature extraction; invasive electrophysiologic study; late potentials identification; noninvasive method; short-time Prony modeling algorithm; signal-averaged electrocardiograms; Biomedical engineering; Cardiac arrest; Electrocardiography; Fractionation; Frequency; Medical diagnostic imaging; Medical tests; Signal analysis; Signal processing; Signal resolution;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480447
