Dr Shaoxiong Sun

简介

Dr. Shaoxiong Sun is a Lecturer in Pervasive Data Science within the School of Computer Science at the University of Sheffield. Previously, he worked as a Senior Research Associate in Data Science for Mobile Health at King’s College London. He earned his PhD through a joint programme between Eindhoven University of Technology (TU/e) and Philips Research in the Netherlands, where his research focused on physiological monitoring. He earned his BEng and MEng in Electrical Engineering from Harbin Institute of Technology and Dalian University of Technology, China, respectively.Dr. Sun has authored over 30 peer-reviewed publications and holds two granted patents in the United States and Europe. He has served on the Technical Program Committees of IEEE CHASE and IEEE BSN, the Notes and Briefs tra

代表成果

• Zhang Y, Folarin AA, Ranjan Y, Cummins N, Rashid Z, Conde P, Stewart C, Sun S, Vairavan S, Matcham F , Oetzmann C et al (2025) Assessing seasonal and weather effects on depression and physical activity using mobile health data. npj Mental Health Research, 4. View this article in WRRO
• Stewart C, Ranjan Y, Conde P, Sun S, Zhang Y, Rashid Z, Sankesara H, Cummins N, Laiou P, Bai X , Dobson RJB et al (2024) Physiological presentation and risk factors of long COVID in the UK using smartphones and wearable devices: a longitudinal, citizen science, case–control study. The Lancet Digital Health, 6(9), e640-e650.
• Zhang Y, Folarin AA, Sun S, Cummins N, Ranjan Y, Rashid Z, Stewart C, Conde P, Sankesara H, Laiou P , Matcham F et al (2024) Longitudinal assessment of seasonal impacts and depression associations on circadian rhythm using multimodal wearable sensing: retrospective analysis. Journal of Medical Internet Research, 26(1). View this article in WRRO
• Zhang D, Peng Z, Sun S, van Pul C, Shan C, Dudink J, Andriessen P, Aarts RM & Long X (2024) Characterising the motion and cardiorespiratory interaction of preterm infants can improve the classification of their sleep state. Acta Paediatrica, 113(6), 1236-1245. View this article in WRRO
• Sun S, Folarin AA, Zhang Y, Cummins N, Garcia-Dias R, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P , Sankesara H et al (2023) Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.. J Med Internet Res, 25, e45233.
• Sun S, Denyer H, Sankesara H, Deng Q, Ranjan Y, Conde P, Rashid Z, Bendayan R, Asherson P, Bilbow A , Groom M et al (2023) Remote administration of ADHD-sensitive cognitive tasks: a pilot study. Journal of Attention Disorders, 27(9), 1040-1050. View this article in WRRO
• Zhang Y, Pratap A, Folarin AA, Sun S, Cummins N, Matcham F, Vairavan S, Dineley J, Ranjan Y, Rashid Z , Conde P et al (2023) Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.. NPJ Digit Med, 6(1), 25.
• de Angel V, Adeleye F, Zhang Y, Cummins N, Munir S, Lewis S, Laporta Puyal E, Matcham F, Sun S, Folarin AA , Ranjan Y et al (2023) The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement.. JMIR Ment Health, 10, e42866.
• Sun S, Bresch E, Muehlsteff J, Schmitt L, Long X, Bezemer R, Paulussen I, Noordergraaf GJ & Aarts RM (2023) Systolic blood pressure estimation using ECG and PPG in patients undergoing surgery. Biomedical Signal Processing and Control, 79, 104040-104040.
• Sun S, Folarin AA, Zhang Y, Cummins N, Liu S, Stewart C, Ranjan Y, Rashid Z, Conde P, Laiou P , Sankesara H et al (2022) The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. Computer Methods and Programs in Biomedicine, 227, 107204-107204.