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 language | English |
|---|---|
| Article number | 599049 |
| Number of pages | 11 |
| Journal | Frontiers in Pediatrics |
| Volume | 8 |
| DOIs | |
| Publication status | Published - 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
| Funders | Funder number |
|---|---|
| Nemo Healthcare | 719500 |
| 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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Perinatal Medicine
van der Hout-van der Jagt, B. (Content manager) & Delvaux, E. (Content manager)
Impact: Research Topic/Theme (at group level)
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