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Recognition of Feature Points in ECG and Human Pulse using Wavelet Transform  

Kil Se-Kee (인하대학교 전자공학과)
Shen Dong-Fan (인하대학교 전자공학과)
Lee Eung-Hyuk (한국산업기술대학교 전자공학과)
Min Hong-Ki (인천대학교 정보통신공학과)
Hong Seung-Hong (인하대학 전자공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.55, no.2, 2006 , pp. 75-81 More about this Journal
Abstract
The purpose of this paper is to recognize the feature points of ECG and human pulse -which signal shows the electric and physical characteristics of heart respectively- using wavelet transform. Wavelet transform is proper method to analyze a signal in time-frequency domain. In the process of wavelet decomposition and reconstruction of ECG and human pulse signal, we removed the noises of signal and recognized the feature points of signal using some of decomposed component of signal. We obtained the result of recognition rate that is estimated about 95.45$\%$ in case of QRS complex, 98.08$\%$ in case of S point and P point and 92.81$\%$ in case of C point. And we computed diagnosis parameters such as RRI, U-time and E-time.
Keywords
Wavelet; Feature Points; Diagnosis Parameters; ECG; Human Pulse;
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Times Cited By KSCI : 1  (Citation Analysis)
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