Non-invasive fetal electrocardiogram monitoring techniques: potential and future research opportunities in smart textiles

Aggarwal, G. ORCID: 0000-0002-8338-2504 and Wei, Y. ORCID: 0000-0001-6195-8595, 2021. Non-invasive fetal electrocardiogram monitoring techniques: potential and future research opportunities in smart textiles. Signals, 2 (3), pp. 392-412.

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During the pregnancy, fetal electrocardiogram (FECG) is deployed to analyze fetal heart rate (FHR) of the fetus to indicate the growth and health of the fetus to determine any abnormalities and prevent diseases. The fetal electrocardiogram monitoring can be carried out either invasively by placing the electrodes on the scalp of the fetus, involving the skin penetration and the risk of infection, or non-invasively by recording the fetal heart rate signal from the mother’s abdomen through a placement of electrodes deploying portable, wearable devices. Non-invasive fetal electrocardiogram (NIFECG) is an evolving technology in fetal surveillance because of the comfort to the pregnant women and being achieved remotely, specifically in the unprecedented circumstances such as pandemic or COVID-19. Textiles have been at the heart of human technological progress for thousands of years, with textile developments closely tied to key inventions that have shaped societies. The relatively recent invention of smart textiles is set to push boundaries again and has already opened the potential for garments relevant to medicine, and health monitoring. This paper aims to discuss the different technologies and methods used in non-invasive fetal electrocardiogram (NIFECG) monitoring as well as the potential and future research directions of NIFECG in the smart textiles area.

Item Type: Journal article
Publication Title: Signals
Creators: Aggarwal, G. and Wei, Y.
Publisher: MDPI AG
Date: 29 June 2021
Volume: 2
Number: 3
Rights: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 01 Jul 2021 09:38
Last Modified: 05 Jul 2021 07:40

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