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Digital Biomarkers|August 17, 2023
Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson's Disease SeverityCatherine Morgan, Alessandro Masullo, Majid Mirmehdi, et al.
Plos One|May 8, 2024
"The worst thing is lying in bed thinking 'I want a cigarette'" a qualitative exploration of smoker's and ex-smoker's perceptions of sleep during a quit attempt and the use of cognitive behavioural therapy for insomnia to aid cessationJoe A Matthews, Victoria R Carlisle, Robert Walker, et al.
Pilot and Feasibility Studies|January 9, 2024
The feasibility and acceptability of a rewards system based on food purchasing behaviour in secondary school cashless canteens: the Eat4Treats (E4T) cluster feasibility, non-randomised, controlled intervention studySarah E Moore, Ciara Rooney, Charlotte E Neville, et al.
Scientific Data|August 3, 2022
OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensorsMohammud J Bocus, Wenda Li, Shelly Vishwakarma, et al.
Scientific Data|December 20, 2023
A multimodal dataset of real world mobility activities in Parkinson's diseaseCatherine Morgan, Emma L Tonkin, Alessandro Masullo, et al.
Parkinsonism & Related Disorders|November 22, 2022
Understanding how people with Parkinson's disease turn in gait from a real-world in-home datasetCatherine Morgan, Jack Jameson, Ian Craddock, et al.
BMJ Open|December 1, 2020
Protocol for PD SENSORS: Parkinson's Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson's diseaseCatherine Morgan, Ian Craddock, Emma L Tonkin, et al.
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