S. G. Oei

Professor S. G. Oei is a distinguished faculty member at Eindhoven University of Technology, holding a professorship in the Department of Signal Processing Systems within the School of Electrical Engineering. He is affiliated with multiple research centers including the Eindhoven MedTech Innovation Center, Biomedical Diagnostics Lab, and Center for Care & Cure Technology Eindhoven. With over 4500 citations and 288 research outputs spanning from 2000 to 2025, Prof. Oei has established himself as a leading researcher at the intersection of electrical engineering and obstetric medicine.

Prof. Oei's research interests focus on the application of advanced signal processing and medical technology to solve critical challenges in obstetrics and maternal-fetal medicine. His work spans electrohysterography for uterine monitoring, fetal electrocardiography, speckle tracking echocardiography, and the development of AI-based assessment tools for fetal monitoring. He has pioneered research in non-invasive electrophysiological monitoring during labor, extra-uterine life support systems for premature infants, and simulation-based training for obstetric emergencies, particularly in low-resource settings.

Analysis of Prof. Oei's recent publications (2023-2025) reveals a strong emphasis on translational research that bridges engineering innovation with clinical obstetrics. His team has made significant contributions to understanding fetal physiology through advanced monitoring techniques, developing predictive models for pregnancy complications like preterm birth and gestational diabetes, and creating novel medical technologies for perinatal care. The interdisciplinary nature of his work is evident in collaborations across engineering, medicine, and global health domains.

Prof. Oei has been instrumental in developing simulation-based training programs for obstetric emergencies, particularly in low-resource settings like Sub-Saharan Africa. His research on electrohysterography has positioned this technology as a promising alternative to traditional uterine monitoring methods, especially for obese patients where conventional techniques are less effective. His work on extra-uterine life support systems represents cutting-edge innovation in neonatal care for extremely premature infants.