Prony residual analysis for the identification of cardiac arrhythmias

Szi Wen Chen; Peter M. Clarkson

Prony residual analysis for the identification of cardiac arrhythmias

Szi Wen Chen^*, Peter M. Clarkson

^*Corresponding author for this work

Ohio State University

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

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.

Original language	English
Pages (from-to)	1177-1180
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
State	Published - 1995
Externally published	Yes
Event	Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA Duration: 09 05 1995 → 12 05 1995

Cite this

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title = "Prony residual analysis for the identification of cardiac arrhythmias",

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.",

author = "Chen, {Szi Wen} and Clarkson, {Peter M.}",

year = "1995",

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issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) ; Conference date: 09-05-1995 Through 12-05-1995",

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T1 - Prony residual analysis for the identification of cardiac arrhythmias

AU - Chen, Szi Wen

AU - Clarkson, Peter M.

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

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M3 - 会议文章

AN - SCOPUS:0028996313

SN - 0736-7791

VL - 2

SP - 1177

EP - 1180

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5)

Y2 - 9 May 1995 through 12 May 1995

ER -

Prony residual analysis for the identification of cardiac arrhythmias

Abstract

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