Title: Foetal ECG extraction using combination of wavelets and hybrid-algorithm-based ANFIS

Authors: R. Swarnalatha, D.V. Prasad

Addresses: BITS Pilani – Dubai, Plot No. UG 06, P.O. Box 345055, Dubai International Academic City, Dubai, UAE. ' BITS Pilani – Dubai, Plot No. UG 06, P.O. Box 345055, Dubai International Academic City, Dubai, UAE

Abstract: Foetal Electrocardiogram (FECG) monitoring is a technique for obtaining important information about the condition of the foetus during pregnancy and labour. In this study, we propose a new method of using combination of hybrid soft-computing technique called Adaptive Neuro Fuzzy Inference System (ANFIS) along with wavelets to estimate the Maternal Electrocardiogram (MECG) and to extract the FECG signal from the mother|s Abdominal Electrocardiogram (AECG). Two methods have been developed wherein: using wavelets as a pre-processing tool combined with ANFIS; using wavelet as a post-processing tool combined with ANFIS. The results obtained by both the methods were analysed in terms of Signal to Noise Ratio (SNR), correlation coefficients and with performance indices. These proposed methods successfully removed the artefacts and extracted the desired FECG signal.

Keywords: foetal electrocardiograms; FECG; maternal ECG; MECG; abdominal ECG; AECG; TECG; wavelet transforms; ANFIS; foetal monitoring; wavelets; healthcare technology; thoracic ECG; adaptive neuro-fuzzy inference; neural networks; fuzzy logic.

DOI: 10.1504/IJHTM.2010.034085

International Journal of Healthcare Technology and Management, 2010 Vol.11 No.3, pp.133 - 150

Available online: 12 Jul 2010 *

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