Title :
A New Method for Locating Feature Points in Pulse Wave Using Wavelet Transform
Author :
Zhang, Xun ; Xu, Liyan ; Chen, Kaijie ; Zhou, Zhengmin
Author_Institution :
Inst. of Electron. Inf., Hangzhou Dianzi Univ., Hangzhou, China
fDate :
March 31 2009-April 2 2009
Abstract :
This paper aims to propose a new method for positioning pulse signal characteristic point automatically by using embedded software with wavelet transform. Wavelet transform that can provide multi-resolution analysis is a powerful method in pulse signal analysis. By calculating the relative displacement between local maximum which is in high-level detail coefficients of wavelet transform, point e is located more effectively than traditional method. New analysis method for biomedical signal analysis such as pulse signal is put forward.
Keywords :
medical signal processing; wavelet transforms; biomedical signal analysis; embedded software; feature point locating; multiresolution analysis; pulse signal analysis; pulse signal characteristic point positioning; pulse wave; wavelet transform; Arteries; Biomedical monitoring; Cardiovascular system; Heart; Signal analysis; Signal processing algorithms; Turning; Valves; Wavelet analysis; Wavelet transforms; Feature point automark; Heart monitor; Pulse condition; Wavelet transform;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.882
