Abstract
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 time- frequency 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.
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