Lloyd Chanprofile image

Lloyd Chan

Current Appointments

Postdoctoral Researcher
email hidden; JavaScript is required

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.


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


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


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


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


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


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