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

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

1177

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480447

Filename

480447