Denoising and SNR improvement of ECG signals using wavelet based techniques

The Electrocardiogram is an important diagnostic tool used to fetch out the information related to human heart simply by attaching the electrodes. The calculation of heart rate is very easy and simple with modern ECG machines. The denoising of ECG signal is a main concern to get the absolute results for better and corrective diagnosis of heart problems. The thresholding techniques are used for denoising of ECG signals with the help of Wavelet Transform. Soft and Hard Thresholding is tested on MIT-BIH Arrhythmia database along with additional artificial noise. The results are shown in terms of Signal to noise Ratio (SNR) and the best achieved value is 52.07374 dB with the help of DB-4 wavelet basis and different compositional level.