An Algorithm for Wavelet Transform Sub-band Filter Based ECG signals Detecting
An application of the wavelet transform to electrocardiography is described in the paper. To detect the weak signals buried in noises is a fundamental and important problem. The proposed technique is based on the decomposition of the ECG signal into a set of basic functions covering the timefrequency domain. It has been found that digital filters are not suitable for processing weak signals in noises, while discrete wavelet transform (DWT) is used to analyze weak digital signal and extract small-features. In this paper, a new procedure is proposed, called sub-band filter. The performance for our method is investigated by detecting the ECG signal in white noise. The results show that the DTW is a quite effective method for the extraction features of weak signal and improving the ratio of signal to noise.
ECG signal detection Discrete wavelet transform Sub-band filter De-noising
Wei Zhang Linlin Ge
The School of Computer and Communication Engineering Liaoning University of Petroleum & Chemical Technology Fushun, Liaoning, China
国际会议
上海
英文
2068-2071
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）