Creagh, Andrew P.

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data

Yuan, H., Chan, S., Creagh, A. P., Tong, C., Acquah, A., Clifton, D. A., & Doherty, A. (2024) · npj Digital Medicine

Context-Aware Activity Recognition SystemsPhysical Activity and Health

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Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis

Creagh, A. P., Hamy, V., Yuan, H., Mertes, G., Tomlinson, R., Chen, W.-H., Williams, R., Llop, C., Yee, C., Duh, M. S., et al. (2022) · npj Digital Medicine

Rheumatoid Arthritis Research and TherapiesMobile Health and mHealth Applications

Cited by 64

Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis

Creagh, A. P., Hamy, V., Yuan, H., Mertes, G., Tomlinson, R., Chen, W.-H., Williams, R., Llop, C., Yee, C., Duh, M. S., et al. (2024) · npj Digital Medicine

Rheumatoid Arthritis Research and TherapiesMobile Health and mHealth Applications

Cited by 64

Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank

Small, S. R., Chan, S., Walmsley, R., Fritsch, L. V., Acquah, A., Mertes, G., Feakins, B. G., Creagh, A., Strange, A., Matthews, C. E., et al. (2023) · medRxiv

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 22

Smartphone-based continuous mobility monitoring of Parkinsons disease patients reveals impacts of ambulatory bout length on gait features

Cheng, W.-Y., Lipsmeier, F., Scotland, A., Creagh, A., Kilchenmann, T., Jin, L., Schjodt-Eriksen, J., Wolf, D., Zhang-Schaerer, Y.-P., Garcia, I. F., et al. (2017) · 2017 IEEE Life Sciences Conference (LSC)

Balance, Gait, and Falls PreventionContext-Aware Activity Recognition Systems

Cited by 13