| PyPI | About | Repo | Cite |
|---|---|---|---|
accelerometer |
A Python Toolkit for Extracting Physical Activity and Behavior Metrics from Wearable Sensor Data | OxWearables/biobankAccelerometerAnalysis | Citation |
actipy |
A Python toolkit to process wearable sensor data | OxWearables/actipy | Citation |
stepcount |
Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers | OxWearables/stepcount | Citation |
asleep |
A sleep classifier for wearable sensor data using machine learning | OxWearables/asleep | Citation |
actinet |
An activity classification model based on self-supervised learning for wrist-worn accelerometer data. | OxWearables/actinet | Citation |
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Shreves AH, Small SR, Walmsley R, et alAmount and intensity of daily total physical activity, step count and risk of incident cancer in the UK BiobankBritish Journal of Sports Medicine Published Online First: 26 March 2025. doi: 10.1136/bjsports-2024-109360 https://doi.org/10.1136/bjsports-2024-109360
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Small SR, Chan S, Walmsley R, VON Fritsch L, Acquah A, Mertes G, Feakins BG, Creagh A, Strange A, Matthews CE, Clifton DA, Price AJ, Khalid S, Bennett D, Doherty A. Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank. Med Sci Sports Exerc. 2024 Oct 1;56(10):1945-1953. doi: 10.1249/MSS.0000000000003478. Epub 2024 May 15. PMID: 38768076; PMCID: PMC11402590. https://doi.org/10.1249/MSS.0000000000003478
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Chen, Y., Chan, S., Bennett, D. et al. Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants. Int J Behav Nutr Phys Act 20, 138 (2023). https://doi.org/10.1186/s12966-023-01537-8
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Yuan, H., Chan, S., Creagh, A.P. et al. Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. npj Digit. Med. 7, 91 (2024). https://doi.org/10.1038/s41746-024-01062-3
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Creagh, A.P., Hamy, V., Yuan, H. et al. Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digit. Med. 7, 33 (2024). https://doi.org/10.1038/s41746-024-01013-y
