Doherty, Aiden

Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study

Doherty, A., Jackson, D., Hammerla, N., Plötz, T., Olivier, P., Granat, M. H., White, T., van Hees, V. T., Trenell, M. I., Owen, C. G., et al. (2017) · PLOS ONE

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 1,250

Evaluating Digital Health Interventions

Murray, E., Hekler, E. B., Andersson, G., Collins, L. M., Doherty, A., Hollis, C., Rivera, D. E., West, R., & Wyatt, J. C. (2016) · American Journal of Preventive Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 847

GWAS identifies 14 loci for device-measured physical activity and sleep duration

Doherty, A., Smith-Byrne, K., Ferreira, T., Holmes, M. V., Holmes, C., Pulit, S. L., & Lindgren, C. M. (2018) · Nature Communications

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 408

Association of wearable device-measured vigorous intermittent lifestyle physical activity with mortality

Stamatakis, E., Ahmadi, M. N., Gill, J. M. R., Thøgersen-Ntoumani, C., Gibala, M. J., Doherty, A., & Hamer, M. (2022) · Nature Medicine

Physical Activity and HealthCardiovascular and exercise physiology

Cited by 336

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

Willetts, M., Hollowell, S., Aslett, L., Holmes, C., & Doherty, A. (2018) · Scientific Reports

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 250

An ethical framework for automated, wearable cameras in health behavior research.

Kelly, P., Marshall, S. J., Badland, H., Kerr, J., Oliver, M., Doherty, A. R., & Foster, C. (2013) · American Journal of Preventive Medicine

Participatory Visual Research MethodsEthics in Clinical Research

Cited by 244

Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease

Walmsley, R., Chan, S., Smith-Byrne, K., Ramakrishnan, R., Woodward, M., Rahimi, K., Dwyer, T., Bennett, D., & Doherty, A. (2022) · British Journal of Sports Medicine

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 238

Integrating the environmental and genetic architectures of aging and mortality

Argentieri, M. A., Amin, N., Nevado-Holgado, A. J., Sproviero, W., Collister, J. A., Keestra, S. M., Kuilman, M. M., Ginos, B. N. R., Ghanbari, M., Doherty, A., et al. (2025) · Nature Medicine

Health, Environment, Cognitive AgingGenetic Associations and Epidemiology

Cited by 211

Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study

Ramakrishnan, R., Doherty, A., Smith-Byrne, K., Rahimi, K., Bennett, D., Woodward, M., Walmsley, R., & Dwyer, T. (2021) · PLOS Medicine

Physical Activity and HealthCardiovascular and exercise physiology

Cited by 183

Brief bouts of device-measured intermittent lifestyle physical activity and its association with major adverse cardiovascular events and mortality in people who do not exercise: A prospective cohort study

Ahmadi, M. N., Hamer, M., Gill, J. M. R., Murphy, M., Sanders, J. P., Doherty, A., & Stamatakis, E. (2023) · The Lancet Public Health

Physical Activity and HealthCardiovascular and exercise physiology

Cited by 172

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

Cited by 166

Association of cardiovascular risk factors with MRI indices of cerebrovascular structure and function and white matter hyperintensities in young adults

Williamson, W., Lewandowski, A. J., Forkert, N. D., Griffanti, L., Okell, T. W., Betts, J., Boardman, H., Siepmann, T., McKean, D., Huckstep, O., et al. (2018) · JAMA

Cerebrovascular and genetic disordersCardiovascular Health and Disease Prevention

Cited by 143

Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time

Gershuny, J., Harms, T., Doherty, A., Thomas, E., Milton, K., Kelly, P., & Foster, C. (2020) · Sociological Methodology

Survey Methodology and NonresponsePhysical Activity and Health

Cited by 124

Automatically assisting human memory: A SenseCam browser

Doherty, A. R., Moulin, C. J. A., & Smeaton, A. F. (2011) · Memory

Video Analysis and SummarizationImage Retrieval and Classification Techniques

Cited by 109

Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association with Mood Instability

Ferguson, A., Lyall, L. M., Ward, J., Strawbridge, R. J., Cullen, B., Graham, N., Niedzwiedz, C. L., Johnston, K. J. A., MacKay, D., Biello, S. M., et al. (2018) · EBioMedicine

Circadian rhythm and melatoninGenetic Associations and Epidemiology

Cited by 70

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

CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition

Chan, S., Hang, Y., Tong, C., Acquah, A., Schonfeldt, A., Gershuny, J., & Doherty, A. (2024) · Scientific Data

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 61

Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges

Gill, J. M., Chico, T. J., Doherty, A., Dunn, J., Ekelund, U., Katzmarzyk, P. T., Milton, K., Murphy, M. H., & Stamatakis, E. (2023) · British Journal of Sports Medicine

Physical Activity and HealthMobile Health and mHealth Applications

Cited by 49

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Yuan, H., Plekhanova, T., Walmsley, R., Reynolds, A. C., Maddison, K. J., Bucan, M., Gehrman, P., Rowlands, A., Ray, D. W., Bennett, D., et al. (2024) · npj Digital Medicine

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 40

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

Sedentary behavior in children by wearable cameras: development of an annotation protocol.

Hänggi, J. M., Spinnler, S., Christodoulides, E., Gramespacher, E., Taube, W., & Doherty, A. (2020) · American Journal of Preventive Medicine

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 14

Reallocating time from device-measured sleep, sedentary behaviour or light physical activity to moderate-to-vigorous physical activity is associated with lower cardiovascular disease risk

Walmsley, R., Chan, S., Smith-Byrne, K., Ramakrishnan, R., Woodward, M., Rahimi, K., Dwyer, T., Bennett, D., & Doherty, A. (2020) · medRxiv

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 12

Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Yuan, H., Plekhanova, T., Walmsley, R., Reynolds, A. C., Maddison, K. J., Bucan, M., Gehrman, P., Rowlands, A., Ray, D. W., Bennett, D., et al. (2023) · medRxiv

Sleep and related disordersContext-Aware Activity Recognition Systems

Cited by 3