Xi Long
Department
RESEARCH PROFILE
Xi Long is an Associate Professor in the Signal Processing Systems group, where he advises, coordinates and participates in many collaborative projects (with, for example, Philips, Máxima Medical Center, Kempenhaeghe, UMC Utrecht, KU Leuven and Fudan University) combining technology and healthcare. Long’s expertise is in signal processing, time series analysis, machine learning, deep learning and mathematical modeling. His research interests include engineering for biomedical applications such as unobtrusive sensing, vital signs monitoring, sleep, neonatology & pregnancy, epilepsy & brain activity, and clinical decision support.
I always believe opening my eyes to see different worlds will encourage me to think about things that better our life.”
ACADEMIC BACKGROUND
Xi Long holds a BSc with honor in Electronic Information Engineering from Zhejiang University (China) and obtained his MSc in Electrical Engineering from Eindhoven University of Technology (TU/e) in 2009. He worked at Philips as a researcher from 2008 to 2009 and at Tencent (China) as project manager and UX engineer from 2009 to 2011. He went on to do his PhD at TU/e and Philips Research, on signal processing and machine learning in unobtrusive sleep monitoring, which he completed cum laude in 2015. He then joined Philips in 2016 and is currently a Senior Scientist and Data Analytics Lead at Philips Research. Long is an IEEE Senior Member, an associate editor of Frontiers in Digital Health, and an editorial board member of IEEE Reviews in Biomedical Engineering and Health Informatics Journal. He has published over 100 scientific articles and reports, generated more than 35 IPs (including >10 patent filings) and supervised more than 30 PhD or MSc students. He is a peer reviewer for more than 30 leading international journals/conferences in his research areas.
Key Publications
-
Mustafa G. Radha,Pedro Fonseca,Arnaud Moreau,Marco Ross,Andreas Cerny,Peter Anderer,Xi Long,Ronald M. Aarts
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
NPJ Digital Medicine (2021) -
Xiao-Rong Ding,David Clifton,Nan Ji,Nigel H. Lovell,Paolo Bonato,Wei Chen,Xinge Yu,Zhong Xue,Ting Xiang,Xi Long
Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic
IEEE Reviews in Biomedical Engineering (2021) -
Mustafa Radha,Pedro Fonseca,Arnaud Moreau,Marco Ross,Andreas Cerny,Peter Anderer,Xi Long,Ronald Aarts
Sleep stage classification from heart-rate variability using long short-term memory neural networks
Scientific Reports (2019) -
Lei Wang,Xi Long,J.B.A.M. Arends,R.M. Aarts
EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures
Journal of Neuroscience Methods (2017) -
J.V.S.W. Werth,L. Atallah,Peter Andriessen,X. Long,E. Zwartkruis-Pelgrim,R.M. Aarts
Unobtrusive sleep state measurements in preterm infants - A review
Sleep Medicine Reviews (2017)
Ancillary Activities
No ancillary activities