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

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

doi:10.1109/IEMBS.2006.260019

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

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

Department of Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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 0Hz-20Hz 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.

Original language	English
Title of host publication	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages	2154-2158
Number of pages	5
DOIs	https://doi.org/10.1109/IEMBS.2006.260019
Publication status	Published - 2006
Event	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: 2006 Aug 30 → 2006 Sept 3

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)	0589-1019

Other

Other	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/Territory	United States
City	New York, NY
Period	06-08-30 → 06-09-03

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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10.1109/IEMBS.2006.260019

Cite this

Lin, C. H., Du, Y. C., Chen, Y. F., & Chen, T. S. (2006). Multiple ECG beats recognition in the frequency domain using grey relational analysis. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 2154-2158). Article 4029263 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.260019

@inproceedings{fe35c169c5164c4c9d102bc0a1ff428b,

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 0Hz-20Hz 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",

doi = "10.1109/IEMBS.2006.260019",

language = "English",

isbn = "1424400325",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

pages = "2154--2158",

booktitle = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06",

note = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 ; Conference date: 30-08-2006 Through 03-09-2006",

}

Lin, CH, Du, YC, Chen, YF & Chen, TS 2006, Multiple ECG beats recognition in the frequency domain using grey relational analysis. in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06., 4029263, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 2154-2158, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 06-08-30. https://doi.org/10.1109/IEMBS.2006.260019

Multiple ECG beats recognition in the frequency domain using grey relational analysis. / Lin, Chia Hung; Du, Yi Chun; Chen, Yung Fu et al.
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 2154-2158 4029263 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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

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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 0Hz-20Hz 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 0Hz-20Hz 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 - 9781424400324

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

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Lin CH, Du YC, Chen YF, Chen TS. Multiple ECG beats recognition in the frequency domain using grey relational analysis. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 2154-2158. 4029263. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2006.260019

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

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