Fetal electrocardiogram signal enhancement using savitzky-golay filter

Abstract

Fetal electrocardiogram (FECG) records electrical activity of the fetal heart and is mainly referred for fetus heart condition. These signals are always contaminated with noises of various kinds which alter their characteristics and thus it may lead to wrong interpretation and diagnosis. Thus these signals need to be clean for correct diagnosis. In this paper, an attempt to reduce noise from FECG signals of physionet database through Savitzky-Golay has been presented. The proposed method is accessed through standard tools like Mean Absolute Error (MAE), Percentage RMS Difference (PRD), Signal to Noise Ratio (SNR) and Cross Correlation (CC). The results obtained are found to be diagnostically acceptable.