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 + Show 2 more

https://doi.org/10.1109/iembs.2006.260019

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Publication Date: Aug 1, 2006

Citations: 12

Affiliation: Kao Yuan University, China Medical University, National Cheng Kung University

#Electrocardiogram Signals #Ectopic Beat + Show 8 more

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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.

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