Research Project
Lloyd Chan
Current Appointments
Postdoctoral ResearcherKey Research Areas
Dr Lloyd Chan PT, PhD, MSc (Epid&Biostat), BSc (Physio) Hons is a Postdoctoral research fellow at Neuroscience Research Australia. He holds a Doctor of Philosophy degree from UNSW, a Master's in Epidemiology and Biostatistics with Salutatorian honour from CUHK, and a Bachelor's degree in Physiotherapy with honours from PolyU. In conjunction with his academic work, Lloyd has extensive experience as a physiotherapist, providing care to individuals with Parkinson's disease and stroke survivors in acute hospitals, rehabilitation centres, and outreach settings.
His studies revolve around two themes: quantifying daily-life walking speed/quality and predicting disease using smartwatches. The resultant innovations have been adopted by fellow researchers and translated into actual clinical practices. Currently, he is working on sensor-based gait abnormality detection in various clinical populations, including people with Parkinson's disease and proximal femoral fractures.
Publications
2024 Aug
Incidence of fragility hip fracture across the Asia-pacific region: A systematic review
View full journal-article on https://doi.org/10.1016/j.archger.2024.105422
2024
Poor mobility and lower limb weakness are associated with three distinct depressive symptom trajectories over 6 years in older people
View full journal-article on http://www.scopus.com/inward/record.url?eid=2-s2.0-85182244307&partnerID=MN8TOARS
2023, 01 Sep
Prediction of injurious falls in older adults using digital gait biomarkers extracted from large-scale wrist sensor data
View full journal-article on https://doi.org/10.1093/ageing/afad179
2023, 13 Jul
The Potential of Wrist-worn Accelerometry in Predicting Injurious Falls and Depressive Episodes in Older Adults
2023, 20 Jan
Development and large-scale validation of the Watch Walk wrist-worn digital gait biomarkers
View full journal-article on http://dx.doi.org/10.1038/s41598-023-28191-1
2023
Impact of mobile phone use on accidental falls risk in young adult pedestrians
View full journal-article on http://www.scopus.com/inward/record.url?eid=2-s2.0-85169507648&partnerID=MN8TOARS
2023
Is Maximal or Usual Walking Speed from Large Scale Wrist Sensor Data Better at Predicting Dementia, Depression and Death?
View full conference-paper on http://www.scopus.com/inward/record.url?eid=2-s2.0-85179647020&partnerID=MN8TOARS
2023
Prediction of Incident Depression in Middle-Aged and Older Adults using Digital Gait Biomarkers Extracted from Large-Scale Wrist Sensor Data
View full journal-article on http://www.scopus.com/inward/record.url?eid=2-s2.0-85161286226&partnerID=MN8TOARS
2022 Jul
Short Daily-Life Walking Bouts and Poor Self-Reported Health Predict the Onset of Depression in Community-Dwelling Older People: A 2-Year Longitudinal Cohort Study
View full journal-article on https://doi.org/10.1016/j.jamda.2021.12.042
2022
Development and large-scale validation of the Watch Walk wrist-worn digital gait biomarkers
View full journal-article on http://www.scopus.com/inward/record.url?eid=2-s2.0-85139504315&partnerID=MN8TOARS