Braun, Fabian; Bonnier, Guillaume; Rapin, Michaël; Yilmaz, Gürkan; Proust, Yara-Maria; Schneider, Sophie; Radan, Anda-Petronela; Strahm, Karin Maya; Surbek, Daniel; Lemay, Mathieu; Delgado-Gonzalo, Ricard (2022). Evaluation of a Wearable System for Fetal ECG Monitoring Using Cooperative Sensors. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022, pp. 3131-3134. IEEE 10.1109/EMBC48229.2022.9871458
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Fetal electrocardiography (fECG) has gotten widespread interest in the last years as technology for fetal monitoring. Compared to cardiotocography (CTG), the current state of the art, it can be designed in smaller formfactor and is thus suited for long-term and unsupervised monitoring. In the present study we evaluated a wearable system which is based on CSEM's cooperative sensors, a versatile technology that allows for the measurement of multiple biosignals and an easy integration into a garment or patch. The system was tested on 25 patients with singleton pregnancies and an age of gestation ≥ 37 weeks. To reject unreliable fetal heart rate (fHR) estimations, the signal processing algorithm provides a signal quality index. In 12 out of 21 patients available for analysis, a good performance of fHR estimations was obtained with a mean absolute error < 5 bpm and an acceptance rate >70%. However, the remaining 9 patients showed low acceptance rates and high errors. Besides investigating the source of these high errors, future work includes the investigating improved signal processing algorithms, different body positions and the use of dry electrodes. Clinical Relevance - The aim of this work is to develop a wearable system that can be offered in hospitals as an alternative to cardiotocography, or as a home monitoring tool for at risk fetuses, in the era of evolving telemedicine.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Gynaecology |
UniBE Contributor: |
Schneider, Sophie, Radan, Anda-Petronela, Strahm, Karin Maya, Surbek, Daniel |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2694-0604 |
Publisher: |
IEEE |
Language: |
English |
Submitter: |
Monika Zehr |
Date Deposited: |
11 Jan 2023 10:46 |
Last Modified: |
11 Jan 2023 23:23 |
Publisher DOI: |
10.1109/EMBC48229.2022.9871458 |
PubMed ID: |
36085640 |
BORIS DOI: |
10.48350/176819 |
URI: |
https://boris.unibe.ch/id/eprint/176819 |