Multiple ECG beats recognition in the frequency domain using grey relational analysis.

Chia Hung Lin; Yi Chun Du; Yung Fu Chen; Tain Song Chen

Multiple ECG beats recognition in the frequency domain using grey relational analysis.

Chia Hung Lin
, Yi Chun Du
, Yung Fu Chen
, Tain Song Chen

生物醫學工程學系

研究成果: Article › 同行評審

摘要

This paper proposes a method for multiple ECG beats recognition using novel grey relational analysis (GRA). Converts each QRS complex to a Fourier spectrum from ECG signals, the spectrum varies with the rhythm origin and conduction path. The variations of power spectra are observed in the range of 0 Hz-20 Hz in the frequency domain. According to the frequency-domain parameters, GRA performs to recognize the cardiac arrhythmias including the supraventricular ectopic beat, bundle branch ectopic beat, ventricular ectopic beat, and fusion beat. The method was tested on MIT-BIH arrhythmia database. The results demonstrate the efficiency of the proposed non-invasive method, and also show high accuracy for detecting electrocardiogram (ECG) signals.

原文	English
頁（從 - 到）	2154-2158
頁數	5
期刊	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
出版狀態	Published - 2006

All Science Journal Classification (ASJC) codes

訊號處理
生物醫學工程
電腦視覺和模式識別
健康資訊學

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引用此

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title = "Multiple ECG beats recognition in the frequency domain using grey relational analysis.",

abstract = "This paper proposes a method for multiple ECG beats recognition using novel grey relational analysis (GRA). Converts each QRS complex to a Fourier spectrum from ECG signals, the spectrum varies with the rhythm origin and conduction path. The variations of power spectra are observed in the range of 0 Hz-20 Hz in the frequency domain. According to the frequency-domain parameters, GRA performs to recognize the cardiac arrhythmias including the supraventricular ectopic beat, bundle branch ectopic beat, ventricular ectopic beat, and fusion beat. The method was tested on MIT-BIH arrhythmia database. The results demonstrate the efficiency of the proposed non-invasive method, and also show high accuracy for detecting electrocardiogram (ECG) signals.",

author = "Lin, \{Chia Hung\} and Du, \{Yi Chun\} and Chen, \{Yung Fu\} and Chen, \{Tain Song\}",

year = "2006",

language = "English",

pages = "2154--2158",

journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",

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

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Multiple ECG beats recognition in the frequency domain using grey relational analysis. / Lin, Chia Hung; Du, Yi Chun; Chen, Yung Fu 等.
於: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2006, p. 2154-2158.

研究成果: Article › 同行評審

TY - JOUR

T1 - Multiple ECG beats recognition in the frequency domain using grey relational analysis.

AU - Lin, Chia Hung

AU - Du, Yi Chun

AU - Chen, Yung Fu

AU - Chen, Tain Song

PY - 2006

Y1 - 2006

N2 - This paper proposes a method for multiple ECG beats recognition using novel grey relational analysis (GRA). Converts each QRS complex to a Fourier spectrum from ECG signals, the spectrum varies with the rhythm origin and conduction path. The variations of power spectra are observed in the range of 0 Hz-20 Hz in the frequency domain. According to the frequency-domain parameters, GRA performs to recognize the cardiac arrhythmias including the supraventricular ectopic beat, bundle branch ectopic beat, ventricular ectopic beat, and fusion beat. The method was tested on MIT-BIH arrhythmia database. The results demonstrate the efficiency of the proposed non-invasive method, and also show high accuracy for detecting electrocardiogram (ECG) signals.

AB - This paper proposes a method for multiple ECG beats recognition using novel grey relational analysis (GRA). Converts each QRS complex to a Fourier spectrum from ECG signals, the spectrum varies with the rhythm origin and conduction path. The variations of power spectra are observed in the range of 0 Hz-20 Hz in the frequency domain. According to the frequency-domain parameters, GRA performs to recognize the cardiac arrhythmias including the supraventricular ectopic beat, bundle branch ectopic beat, ventricular ectopic beat, and fusion beat. The method was tested on MIT-BIH arrhythmia database. The results demonstrate the efficiency of the proposed non-invasive method, and also show high accuracy for detecting electrocardiogram (ECG) signals.

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SN - 1557-170X

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JO - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

JF - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

ER -

Multiple ECG beats recognition in the frequency domain using grey relational analysis.

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