Fetal Electrocardiogram Signal Enhancement Using Savitzky-Golay Filter
Jayprakash Nayak1, Om Prakash Yadav2
1Jayprakash Nayak, Department of Electronics & Telecommunication Engineering Chhatrapati Shivaji Institute of Technology, Durg (C.G.), India.
2Om Prakash Yadav, Department of Electronics & Telecommunication Engineering Chhatrapati Shivaji Institute of Technology, Durg (C.G.), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 183-187 | Volume-8 Issue-4, April 2019 | Retrieval Number: C5844028319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: FECG, AECG, MECG, Savitzky Golay filter, MAE, PRD, SNR, CC.
Scope of the Article: Signal and Speech Processing