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Non-invasive Fetal Electrocardiography for Intrapartum Cardiotocography

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Fetal monitoring is important to diagnose complications that can occur during pregnancy. If detected timely, these complications might be resolved before they lead to irreversible damage. Current fetal monitoring mainly relies on cardiotocography, the simultaneous registration of fetal heart rate and uterine activity. Unfortunately, the technology to obtain the cardiotocogram has limitations. In current clinical practice the fetal heart rate is obtained via either an invasive scalp electrode, that poses risks and can only be applied during labor and after rupture of the fetal membranes, or via non-invasive Doppler ultrasound technology that is inaccurate and suffers from loss of signal, in particular in women with high body mass, during motion, or in preterm pregnancies. In this study, transabdominal electrophysiological measurements are exploited to provide fetal heart rate non-invasively and in a more reliable manner than Doppler ultrasound. The performance of the fetal heart rate detection is determined by comparing the fetal heart rate to that obtained with an invasive scalp electrode during intrapartum monitoring. The performance is gauged by comparing it to performances mentioned in literature on Doppler ultrasound and on two commercially-available devices that are also based on transabdominal fetal electrocardiography.
Original languageEnglish
Article number599049
Number of pages11
JournalFrontiers in Pediatrics
Volume8
DOIs
Publication statusPublished - 9 Dec 2020

Funding

Funding. The data collection of this research was funded by a Horizon 2020 grant and supported by Nemo Healthcare BV, the Netherlands (grant number 719500). Nemo Healthcare is a spin-off company from the Eindhoven University of Technology. Nemo Healthcare played no role in the analysis of the data, the drafting of the manuscript, or the decision to publish. The data collection of this research was funded by a Horizon 2020 grant and supported by Nemo Healthcare BV, the Netherlands

FundersFunder number
Nemo Healthcare719500
Eindhoven University of Technology
European Union's Horizon 2020 - Research and Innovation Framework Programme

    Keywords

    • artificial intelligence
    • cardiotocography
    • electrophysiology
    • fetal electrocardiogram
    • fetal heart rate
    • signal processing

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