Detection of cardiac arrhythmias using a damped exponential modeling algorithm

Szi Wen Chen; Peter M. Clarkson

Detection of cardiac arrhythmias using a damped exponential modeling algorithm

Szi Wen Chen^*
, Peter M. Clarkson

^*Corresponding author for this work

Ohio State University

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

1 Scopus citations

Abstract

In this paper, we describe a new approach for the discrimination among ventricular fibrillation (VF), ventricular tachycardia (VT) and superventricular tachycardia (SVT) based on a damped exponential (DE) modeling algorithm. Two features, dubbed energy fractional factor (EFF) and predominant frequency (PF), were derived from the DE model. Classification task is achieved by performing a two-stage process using the EFF and PF indicators. Tests conducted using 91 episodes drawn from the MIT-BIH database produced total predictive accuracy of (SVT, VF, VT)=(95%, 96%, 98%).

Original language	English
Pages (from-to)	1775-1778
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
State	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA Duration: 07 05 1996 → 10 05 1996

Cite this

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title = "Detection of cardiac arrhythmias using a damped exponential modeling algorithm",

abstract = "In this paper, we describe a new approach for the discrimination among ventricular fibrillation (VF), ventricular tachycardia (VT) and superventricular tachycardia (SVT) based on a damped exponential (DE) modeling algorithm. Two features, dubbed energy fractional factor (EFF) and predominant frequency (PF), were derived from the DE model. Classification task is achieved by performing a two-stage process using the EFF and PF indicators. Tests conducted using 91 episodes drawn from the MIT-BIH database produced total predictive accuracy of (SVT, VF, VT)=(95\%, 96\%, 98\%).",

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

year = "1996",

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journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

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note = "Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) ; Conference date: 07-05-1996 Through 10-05-1996",

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T1 - Detection of cardiac arrhythmias using a damped exponential modeling algorithm

AU - Chen, Szi Wen

AU - Clarkson, Peter M.

PY - 1996

Y1 - 1996

N2 - In this paper, we describe a new approach for the discrimination among ventricular fibrillation (VF), ventricular tachycardia (VT) and superventricular tachycardia (SVT) based on a damped exponential (DE) modeling algorithm. Two features, dubbed energy fractional factor (EFF) and predominant frequency (PF), were derived from the DE model. Classification task is achieved by performing a two-stage process using the EFF and PF indicators. Tests conducted using 91 episodes drawn from the MIT-BIH database produced total predictive accuracy of (SVT, VF, VT)=(95%, 96%, 98%).

AB - In this paper, we describe a new approach for the discrimination among ventricular fibrillation (VF), ventricular tachycardia (VT) and superventricular tachycardia (SVT) based on a damped exponential (DE) modeling algorithm. Two features, dubbed energy fractional factor (EFF) and predominant frequency (PF), were derived from the DE model. Classification task is achieved by performing a two-stage process using the EFF and PF indicators. Tests conducted using 91 episodes drawn from the MIT-BIH database produced total predictive accuracy of (SVT, VF, VT)=(95%, 96%, 98%).

UR - https://www.scopus.com/pages/publications/0029747683

M3 - 会议文章

AN - SCOPUS:0029747683

SN - 0736-7791

VL - 3

SP - 1775

EP - 1778

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 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6)

Y2 - 7 May 1996 through 10 May 1996

ER -

Detection of cardiac arrhythmias using a damped exponential modeling algorithm

Abstract

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