Non-Invasive Fetal Electrocardiogram Monitoring Techniques: Potential and Future Research Opportunities in Smart Textiles

G Aggarwal ¹

Yang Wei ¹

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Smart Wearable Research Group, Department of Engineering, Nottingham Trent University, Nottingham NG11 8NS, UK |

Publication type: Journal Article

Publication date: 2021-06-29

MDPI

Journal: Signals

SJR: —

CiteScore: 3.2

Impact factor: —

ISSN: 26246120

DOI: 10.3390/signals2030025

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Abstract

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.

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Bioengineering	Bioengineering, 1, 10% Bioengineering 1 publication, 10%
BMC Pregnancy and Childbirth	BMC Pregnancy and Childbirth, 1, 10% BMC Pregnancy and Childbirth 1 publication, 10%
Nature Reviews Bioengineering	Nature Reviews Bioengineering, 1, 10% Nature Reviews Bioengineering 1 publication, 10%
Advances in Computational Intelligence and Robotics	Advances in Computational Intelligence and Robotics, 1, 10% Advances in Computational Intelligence and Robotics 1 publication, 10%
IEEE Access	IEEE Access, 1, 10% IEEE Access 1 publication, 10%
Physiological Measurement	Physiological Measurement, 1, 10% Physiological Measurement 1 publication, 10%
Maternal-Fetal Medicine	Maternal-Fetal Medicine, 1, 10% Maternal-Fetal Medicine 1 publication, 10%
Sensors	Sensors, 1, 10% Sensors 1 publication, 10%
Cryptology and Network Security with Machine Learning	Cryptology and Network Security with Machine Learning, 1, 10% Cryptology and Network Security with Machine Learning 1 publication, 10%
	1

	1 2 3
Springer Nature	Springer Nature, 3, 30% Springer Nature 3 publications, 30%
MDPI	MDPI, 2, 20% MDPI 2 publications, 20%
Institute of Electrical and Electronics Engineers (IEEE)	Institute of Electrical and Electronics Engineers (IEEE), 2, 20% Institute of Electrical and Electronics Engineers (IEEE) 2 publications, 20%
IGI Global	IGI Global, 1, 10% IGI Global 1 publication, 10%
IOP Publishing	IOP Publishing, 1, 10% IOP Publishing 1 publication, 10%
Ovid Technologies (Wolters Kluwer Health)	Ovid Technologies (Wolters Kluwer Health), 1, 10% Ovid Technologies (Wolters Kluwer Health) 1 publication, 10%
	1 2 3

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Publisher

MDPI

Journal

Signals

SJR

—

CiteScore

3.2

Impact factor

—

ISSN

26246120 (Electronic)

Non-Invasive Fetal Electrocardiogram Monitoring Techniques: Potential and Future Research Opportunities in Smart Textiles

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