Fetal ECG Extraction & Analysis Using Wavelet Transform
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
The fetal electrocardiogram (ECG) is an analytical tool that measures and records the electrical movement of the heart of the fetus during pregnancy and provides fine details. Analysis of these details allows analysis of a wide range of heart conditions. During this study we propose an algorithm to extract fetal electrocardiogram (FECG) from signals measured of the mother’s abdomen and thorax. As past, lots of studies works have been carry out in this field. A few of these are filtering method and threshold, neural network method, adaptive method and others. Wavelet transform technique is the most popular and efficient method for determining ECG characteristic. This paper explain three algorithm for to find out the fetal heart rates , the proposed algorithm consists of three steps: 1) Abdominal ECG signal (AECG) is acquired from mother’s abdomen and disintegrated to estimate maternal apparatus (MECG signal) using wavelet transform 2) FECG signal is extracted by subtracting MECG signal from AECG signal. 3) Then fetal R peaks are calculated in extracted FECG signal to detect fetal heart rate. This algorithm is implemented on 6 recorded signals using MATLAB and analysis is carried out and results are obtained from this analysis are satisfactory.
Authors and Affiliations
Manali Khandve, Pooja Khude, Aeshwarya Ingale, Anil Wanare
Keywords
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- EP ID EP21917
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