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Page 1
Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones.
IEEE Open J Eng Med Biol. 2022 Nov 10;3:202-210. doi: 10.1109/OJEMB.2022.3221306. eCollection 2022.
IEEE Open J Eng Med Biol. 2022.
PMID: 36578776
Free PMC article.
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.
Yuan H, Chan S, Creagh AP, Tong C, Acquah A, Clifton DA, Doherty A.
Yuan H, et al. Among authors: creagh ap.
NPJ Digit Med. 2024 Apr 12;7(1):91. doi: 10.1038/s41746-024-01062-3.
NPJ Digit Med. 2024.
PMID: 38609437
Free PMC article.
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Baseline Association of Motoric Cognitive Risk Syndrome With Sustained Attention, Memory, and Global Cognition.
Maguire FJ, Killane I, Creagh AP, Donoghue O, Kenny RA, Reilly RB.
Maguire FJ, et al. Among authors: creagh ap.
J Am Med Dir Assoc. 2018 Jan;19(1):53-58. doi: 10.1016/j.jamda.2017.07.016. Epub 2017 Sep 9.
J Am Med Dir Assoc. 2018.
PMID: 28899662
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Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test.
Creagh AP, Simillion C, Bourke AK, Scotland A, Lipsmeier F, Bernasconi C, van Beek J, Baker M, Gossens C, Lindemann M, De Vos M.
Creagh AP, et al.
IEEE J Biomed Health Inform. 2021 Mar;25(3):838-849. doi: 10.1109/JBHI.2020.2998187. Epub 2021 Mar 5.
IEEE J Biomed Health Inform. 2021.
PMID: 32750915
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2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries.
Lu P, Creagh AP, Lu HY, Hai HB, Vital Consortium, Thwaites L, Clifton DA.
Lu P, et al. Among authors: creagh ap.
Sensors (Basel). 2023 Sep 6;23(18):7705. doi: 10.3390/s23187705.
Sensors (Basel). 2023.
PMID: 37765761
Free PMC article.
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Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones.
Creagh AP, Lipsmeier F, Lindemann M, Vos M.
Creagh AP, et al.
Sci Rep. 2021 Jul 12;11(1):14301. doi: 10.1038/s41598-021-92776-x.
Sci Rep. 2021.
PMID: 34253769
Free PMC article.
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Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.
Creagh AP, Hamy V, Yuan H, Mertes G, Tomlinson R, Chen WH, Williams R, Llop C, Yee C, Duh MS, Doherty A, Garcia-Gancedo L, Clifton DA.
Creagh AP, et al.
NPJ Digit Med. 2024 Feb 12;7(1):33. doi: 10.1038/s41746-024-01013-y.
NPJ Digit Med. 2024.
PMID: 38347090
Free PMC article.
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