Jarle Urdal
Dep. of Electrical Engineering and Computer Science, University of Stavanger, Norway
Kjersti Engan
Dep. of Electrical Engineering and Computer Science, University of Stavanger, Norway
Trygve Eftestøl
Dep. of Electrical Engineering and Computer Science, University of Stavanger, Norway
Ladislaus Blacy Yarrot
Research Institute, Haydom Lutheran Hospital, Tanzania
Hussein Kidanto
School of Medicine, Aga Khan University, Tanzania
Hege Ersdal
Dep. of Anesthesiology and Intensive Care, Stavanger University Hospital, Norway / Dep. of Health Sciences, University of Stavanger, Norway
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Published in: SHI 2019. Proceedings of the 17th Scandinavian Conference on Health Informatics, November 12-13, 2019, Oslo, Norway
Linköping Electronic Conference Proceedings 161:21, p. 121-126
Published: 2019-11-07
ISBN: 978-91-7929-957-6
ISSN: 1650-3686 (print), 1650-3740 (online)
Fresh stillbirths and early neonatal deaths due to birth asphyxia are global challenges with an estimated 1.3 and 1.0 million deaths respectively every year. Adequate fetal monitoring during labour to prevent these deaths, is challenging, and regular assessment of fetal heart rate (FHR) in relation to uterine contractions is a key factor. A multi-crystal strap-on low-cost Doppler device, including an accelerometer, is recently developed to improve FHR monitoring in lower resource settings. In this work, we propose a method to increase interpretability of FHR Doppler signals by reducing noise, and a method to utilize accelerometer signals to estimate uterine contractions.
