Doctoral Candidate
Zheng Peng
Department / Institute
Applied Physics and Science Education
Group
EngD School AP
I am Zheng Peng, a Ph.D. student in Applied Physics at Eindhoven University of Technology (TU/e). My research focuses on the movement monitoring and analysis for preterm infants using machine learning and non-invasive technologies (e.g. cameras, sensors) to understand their motion behavior and improve their quality of life. My current project is from e/MTIC collaborating with the Maxima Medical Center and Philips research in the Netherlands.I previously worked as a data scientist in Prodrive Technologies and got my Master's degree also in TU/e.
Recent Publications
-
Zheng Peng,Gabriele Varisco,Xi Long,J. (Rong-Hao) Liang,Deedee Kommers,E.J.E. Cottaar,Peter Andriessen,Carola van Pul
A continuous late-onset sepsis prediction algorithm for preterm infants using multi-channel physiological signals from a patient monitor
IEEE Journal of Biomedical and Health Informatics (2023) -
Zheng Peng,Gabriele Varisco,Rong-Hao Liang,Deedee Kommers,Ward Cottaar,Peter Andriessen,Carola van Pul,Xi Long
DeepLOS: Deep learning for late-onset sepsis prediction in preterm infants using heart rate variability
Smart Health (2022) -
Gabriele Varisco,Zheng Peng,Deedee Kommers,Zhuozhao Zhan,E.J.E. (Ward) Cottaar,Peter Andriessen,Xi Long,Carola van Pul
Central apnea detection in premature infants using machine learning
Computer Methods and Programs in Biomedicine (2022) -
Zheng Peng,Dennis Van De Sande,Ilde Lorato,Xi Long,Rong Hao Liang,Peter Andriessen,Ward Cottaar,Sander Stuijk,Carola Van Pul
A Comparison of Video-based Methods for Neonatal Body Motion Detection
(2022) -
Zheng Peng,Ilde Lorato,Xi Long,Rong-Hao Liang,Deedee Kommers,Peter Andriessen,Ward Cottaar,Sander Stuijk,Carola van Pul
Body motion detection in neonates based on motion artifacts in physiological signals from a clinical patient monitor
(2021)
Ancillary Activities
No ancillary activities