ECG denoising using wavelet transform and filters

ECG (Electrocardiography) is a technology used to measure the health of the heart. This paper describes various noises that contaminate the ECG signal and various techniques that are used to eliminate these noises. An efficient denoising method using wavelet transform is proposed. Results of `sym8' wavelet transform is compared with results of digital filter using `blackman window'. SNR (Signal to Noise Ratio) is the parameter used to measure the performance of the output. SNR of `sym8' wavelet transform is seen to be greater than that of the digital filter using `blackman window'.