Title: LabVIEW-based cardiac risk assessment of foetal ECG signal extracted from maternal abdominal signal

Authors: Prabhjot Kaur; Lillie Dewan

Addresses: Electrical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, India ' Electrical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, India

Abstract: Mathematical computational processing of abdominal foetal ECG has proved to be beneficial in crucial diagnosis of complex cardiac diseases. To arrive at diagnosis, a cardiologist needs to observe the variations critically in the duration and amplitude of different waves of the ECG which may otherwise result in permanent damage to the brain and nervous system. In this paper, the foetal cardiac signal has been extracted from a composite abdominal signal in LabVIEW environment using Independent Component Analysis (ICA) approach, implemented after the application of hybrid filters, with signal taken from PhysioNet Database. Results obtained demonstrate that the denoised signal is approximately 99% accurate and the ICA implementation helps to determine foetal heart rate successfully with low computational complexity. The performance of the proposed algorithm has also been explored in the case of twin pregnancy. The estimated heart rate is comparable to the actual heart rate, which validates the algorithm's accuracy.

Keywords: electrocardiogram; independent component analysis; sinus rhythm; tachycardia; bradycardia; denoising filters; signal to noise ratio; standard deviation; accuracy; LabVIEW.

DOI: 10.1504/IJCAT.2021.119761

International Journal of Computer Applications in Technology, 2021 Vol.66 No.2, pp.115 - 131

Received: 11 May 2020
Accepted: 24 Aug 2020
Published online: 20 Dec 2021 *

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