Extraction of FECG from Non-Invasive AECG signal for Fetal Heart Rate Calculation

A. Gaikwad¹ , M.S. Panse²

¹ Dept. of Electrical Engineering, VJTI, Mumbai, India.
² Dept. of Electrical Engineering, VJTI, Mumbai, India.

Correspondence should be addressed to: apurva2816@gmail.com.

Section:Research Paper, Product Type: Journal
Vol.5 , Issue.2 , pp.16-19, May-2017

Online published on May 31, 2017

Copyright © A. Gaikwad, M.S. Panse . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
A Non Invasive Fetal Electrocardiogram (FECG) is an effective diagnostic tool for determining health status of the fetus. Abdominal Electrocardiogram (AECG) is a composite ECG signal that consists of both fetal as well as maternal ECG (MECG). This paper presents an efficient technique to extract the FECG signal from AECG by means of different Time- Frequency localized transforms and algorithms. A combination of Band Pass Filter, Hilbert Transform and Adaptive Thresholding algorithm has been used for detecting FECG QRS complexes. Further an enhancement of FECG signal is done using Wavelet De-noising and Fetal Heart Rate (FHR) is calculated. This algorithm is performed using MATLAB simulation software and tested on 5 non-invasively recorded abdominal and direct FECG signals taken from MIT Physionet database.

Key-Words / Index Term :
ECG, Non-Invasive monitoring, Maternal ECG, Pre-processing, Hilbert Transform, Wavelet De-noising, QRS detection, FECG extraction, FHR

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