Abstract

In this letter, we report the early detection of fetal cardiac electrical activity recorded from the maternal abdomen non-invasively. We developed a portable and non-invasive, prototype based on electric potential sensing technology to monitor both: the mother and fetal heart activity during pregnancy. In this proof of principle demonstration, we show the suitability of our technology to monitor the fetal heart development starting at week twenty, when the fetus heart is approximately one-tenth the size of an adult’s heart. The study was conducted for ten weeks to demonstrate how the maturation of the fetus leads to a change on the heart rate dynamics as it approaches birth. Importantly, electrocardiogram information is presented without any post processing given that our device eliminates the requirement of signal conditioning algorithms such as having to un-mix both, the maternal and fetal cardiac waveforms. The provided ECG trace allows extracting the heart rate and other heart activity parameters useful for further diagnostics. Finally, our device does not require any gels to be applied so movement induced potential is eliminated. This technology has the potential to be used for determining possible heart related congenital disorders during pregnancy.

Highlights

  • The field of electrocardiography started more than a century ago, since its invention in 1906 by M

  • There are two main indicators to ensure the wellbeing of the fetus: the fetal motion inside the uterus experienced by the mother and the fetal heart rate (HR)

  • The concept of fetal HR monitoring was introduced in the early 70’s based on invasive methodologies consisting on intrauterine electrodes requiring the rupture of membranes

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Summary

Introduction

The field of electrocardiography started more than a century ago, since its invention in 1906 by M. Non-invasive recordings of fetal electrocardiogram during pregnancy using electric potential sensors Aviles-Espinosa Sensor Technology Research Centre, School of Engineering and Informatics, University of Sussex, Brighton BN1 9QT, United Kingdom (Received 31 May 2018; accepted 30 September 2018; published online 12 October 2018)

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