Identification of cardiac arrhythmias using a damped exponential-predominant frequency algorithm

Szi Wen Chen; Peter M. Clarkson

Identification of cardiac arrhythmias using a damped exponential-predominant frequency algorithm

Szi Wen Chen^*
, Peter M. Clarkson

^*此作品的通信作者

Ohio State University

研究成果: 期刊稿件 › 會議文章 › 同行評審

1 引文斯高帕斯（Scopus）

摘要

In this paper, we describe a new approach for the discrimination of ventricular fibrillation (VF) from ventricular tachycardia (VT) based on a damped exponential (DE) modeling algorithm. Classification is achieved by simple linear separation applied to a novel feature, dubbed predominant frequency (PF), derived from the DE model. Tests conducted using 70 episodes drawn from the MIT-BIH malignant arrhythmia database produced total predictive accuracy exceeding 98%.

原文	英語
頁（從 - 到）	181-182
頁數	2
期刊	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
卷	17
發行號	1
出版狀態	已出版 - 1995
對外發佈	是
事件	Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can 持續時間: 20 09 1995 → 23 09 1995

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引用此

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title = "Identification of cardiac arrhythmias using a damped exponential-predominant frequency algorithm",

abstract = "In this paper, we describe a new approach for the discrimination of ventricular fibrillation (VF) from ventricular tachycardia (VT) based on a damped exponential (DE) modeling algorithm. Classification is achieved by simple linear separation applied to a novel feature, dubbed predominant frequency (PF), derived from the DE model. Tests conducted using 70 episodes drawn from the MIT-BIH malignant arrhythmia database produced total predictive accuracy exceeding 98\%.",

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AU - Chen, Szi Wen

AU - Clarkson, Peter M.

PY - 1995

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AB - In this paper, we describe a new approach for the discrimination of ventricular fibrillation (VF) from ventricular tachycardia (VT) based on a damped exponential (DE) modeling algorithm. Classification is achieved by simple linear separation applied to a novel feature, dubbed predominant frequency (PF), derived from the DE model. Tests conducted using 70 episodes drawn from the MIT-BIH malignant arrhythmia database produced total predictive accuracy exceeding 98%.

UR - https://www.scopus.com/pages/publications/0029429594

M3 - 会议文章

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SN - 0589-1019

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EP - 182

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

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T2 - Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2)

Y2 - 20 September 1995 through 23 September 1995

ER -

Identification of cardiac arrhythmias using a damped exponential-predominant frequency algorithm

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