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.