A SURVEY ON ECG SIGNAL DENOISING USING S-TRANSFORM AND SG FILTERING

ECG is the cardiac recording of systematic electrical activity arising from the electro-physiological rhythm of the heart muscle and is a technology to identify the abnormalities in heart. Electrocardiogram (ECG) signal recording is one of the perplexing tasks in the field of biomedical engineering. The ECG signal is very delicate in nature, and even if small noise mixed with original ECG signal the various characteristics of the signal changes. A noise free data is always required for correct medication of cardiac disorders. But, during processing, the signal is contaminated with different types of noise like muscle noise, power line interference (PLI), baseline wandering (BW), EMG noise and motion artifacts (MA). Due to many noise sources, it is necessary that the signal has to be de-noised and presented in a clear waveform. This paper deliberates S transform and Savitzky-Golay filtering techniques used for preprocessing an Electrocardiographic signal.