A Method for Reduction of Noise in the ECG
The electrocardiograms (ECGs) record the electrical activity of the heart and are used to diagnose many heart disorders. This paper introduces an effective technique for the denoising of ECG signals corrupted by noises. The research is aimed at the design of an intelligent ECG diagnosis tool to extract ECG signal. The multi-resolution representations of the signal, produced by wavelet transform (WT), are used for signal structure extraction. Experimental results have shown that the implementation of this wavelet-based filter in ECG signal analysis results in an efficient reduction of the high noisy environment, producing an almost noise-free output signal. Due to its simplicity and its fast implementation the method can easily be used in clinical medicine.
Weakness signal detection ECG signa . Wavelet transform Signal to noise ratio Filter banks
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
2119-2122
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）