Adaptive recurrent filter for ectopic beat and arrhythmia detection

Yi sheng Zhu; Nitish V. Thakor

Adaptive recurrent filter for ectopic beat and arrhythmia detection

School of Medicine

Research output: Contribution to conference › Paper › peer-review

Abstract

The electrocardiogram is characterized by a well-defined morphology of signal complexes, e.g., the P-QRS-T sequence that recurs with each heart beat. The adaptive recurrent filter is useful for learning the morphology of the signal complexes and for detecting transient variations. The authors present application of the ARF to 60-Hz power-line cancellation, P-wave detection in conduction blocks, recognition of atrial fibrillation and paced rhythm, and detection of ectopic beats.

Original language	English (US)
Pages	1227-1228
Number of pages	2
State	Published - Dec 1 1988
Event	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA Duration: Nov 4 1988 → Nov 7 1988

Other

Other	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
City	New Orleans, LA, USA
Period	11/4/88 → 11/7/88

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Adaptive recurrent filter for ectopic beat and arrhythmia detection",

abstract = "The electrocardiogram is characterized by a well-defined morphology of signal complexes, e.g., the P-QRS-T sequence that recurs with each heart beat. The adaptive recurrent filter is useful for learning the morphology of the signal complexes and for detecting transient variations. The authors present application of the ARF to 60-Hz power-line cancellation, P-wave detection in conduction blocks, recognition of atrial fibrillation and paced rhythm, and detection of ectopic beats.",

author = "Zhu, {Yi sheng} and Thakor, {Nitish V.}",

year = "1988",

month = dec,

day = "1",

language = "English (US)",

pages = "1227--1228",

note = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 04-11-1988 Through 07-11-1988",

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T1 - Adaptive recurrent filter for ectopic beat and arrhythmia detection

AU - Zhu, Yi sheng

AU - Thakor, Nitish V.

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N2 - The electrocardiogram is characterized by a well-defined morphology of signal complexes, e.g., the P-QRS-T sequence that recurs with each heart beat. The adaptive recurrent filter is useful for learning the morphology of the signal complexes and for detecting transient variations. The authors present application of the ARF to 60-Hz power-line cancellation, P-wave detection in conduction blocks, recognition of atrial fibrillation and paced rhythm, and detection of ectopic beats.

AB - The electrocardiogram is characterized by a well-defined morphology of signal complexes, e.g., the P-QRS-T sequence that recurs with each heart beat. The adaptive recurrent filter is useful for learning the morphology of the signal complexes and for detecting transient variations. The authors present application of the ARF to 60-Hz power-line cancellation, P-wave detection in conduction blocks, recognition of atrial fibrillation and paced rhythm, and detection of ectopic beats.

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M3 - Paper

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T2 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 4 November 1988 through 7 November 1988

ER -

Adaptive recurrent filter for ectopic beat and arrhythmia detection

Abstract

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ASJC Scopus subject areas

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