Performance Analysis of Savitzky-Golay Smoothing Filter Using ECG Signal

Cardiovascular diseases (CVDs) are the most widespread cause of death in many countries all over the world. Electrocardiogram (ECG) is one of the most basic useful, easily available and low cost tools for the early diagnosis and evolution of many cardiac problems. ECG signal can potentially corrupted by various types of noises which lead to incorrect diagnosis. Many types of filters are available for filtering or smoothing the noisy ECG. Some of them are not very much effective and some of them destroy the characteristics of ECG signal during filtering process. Savitzky-Golay(S-G) is one of the filters which can smoothen out the signal without much destroying its original properties. Polynomial degree and frame size are the two parameters of S-G filter and the performance of S-G filter mostly depends on them. The effect of the variation of polynomial degree and frame size are studied in this paper. For denoisng ECG signal by using S-G filter PRD and SNR are used as the performance evaluating factor. The experimental results indicate that which type of value of polynomial degree and frame size are better for denoising ECG signal.