융합신호처리학회 학술대회논문집 (Proceedings of the Korea Institute of Convergence Signal Processing)
- 한국신호처리시스템학회 2000년도 하계종합학술대회논문집
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- Pages.269-272
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- 2000
웨이브렛 변환을 이용한 맥파의 인식에 관한 연구
A Study on the Recognition of Human Pulse Using Wavelet Transform
초록
It is need to develop and apply a human pulse diagnosis system providing a quantitative and automatic analysis in the the oriental medicine. In order to analyze quantitatively the characteristic of pulsation, each of points had to be recognized accurately notifying the existence and the position of feature point in the wave form. And getting the period of human pulse. Thus, in this paper, it is proposed the preprocessing method of human pulse and the detection method of period by Wavelet Transformation. The human pulse is seprated from each band through Wavelet Transformation and feature points can be recognized through over the fact, and then the parameter of proposed Mac-Jin parameter is measured. Commonly, Human pulse signal has often various noises which are baseline drift, high frequency noise and so on. So it is significant to remove that noises. Thus, in this paper, the one period of human pulse is deciede and the feature points are detected after doing the preprocessing by wavelet transformation. As a result, it could be confirmed that this method is effective as a real program for the auto-diagnosis of human pulse.
키워드