Filtering maternal & fetal electrocardiogram (ECG) signals using Savitzky-Golay filter and adaptive least mean square (LMS) cancellation technique

Abstract

An electrocardiogram that enrolls the heart's electrical action against duration is known as a bio-electrical signal. ECG is a substantial diagnosis device for detecting heart functions. Electrocardiography is an explication of the electrical activity of the heart after a certain time, that produces a representation of an Electrocardiogram. The Electrocardiogram is a very important diagnosis de- vice in clinical applications. It is particularly beneficial in diagnosing cadence diseases, alterations in electrical transmission, and myocardial ischemia and infarction. In non-invasive electrocardiography, the signal is speci_ed by electrodes annexed to the exterior surface of the skin and saved by an apparatus exterior to the body. Some of the most common examples of noise that the ECG _lter would need to remove in order to give beneficial outcomes contains power line interference, motion artifacts, muscle contraction, electrode contact noise, and interference caused due to other electronic equipment. For _ltering noise, assorted _lters are utilized. Fetal electrocardiogram (ECG) analysis is still a very new phenomenon. This is, partially because of a deficiency of the availability of gold canonical databases, and partially because of comparatively low SNR of fetal Electrocardiogram check against the maternal Electrocardiogram. Fetal heart proportion and its beat-to-beat variability are two significant signals about the health and status of the fetus. The observed maternal electrocardiogram (ECG) signal consists of a maternal heart signal and a fetal heart signal is often very noisy. Savitzky and Golay Filter gave a procedure for smoothing of datum that is situated on least-squares polynomial prediction. Adaptive Noise Canceller (Least Mean Square Algorithm) is an alternate process of forecasting signals damaged by additive noise or interference. This paper suggests De-noising methods Savitzky and Golay Filter with Adaptive Noise Canceller (Least Mean Square Algorithm) methods to help reduce the noise interference in the Maternal and Fetal ECG signals and better diagnose results. ECG signals are weak and easily susceptible to noise and interference.