Real-World Evidence for a Smartwatch-Based Parkinson’s Motor Assessment App for Patients Undergoing Therapy Changes

Autor: Aaron J. Hadley, David E. Riley, Dustin A. Heldman

Publikováno v: Digital Biomarkers, Vol 5, Iss 3, Pp 206-215 (2021)

Introduction: Parkinson’s disease (PD) is poorly quantified by patients outside the clinic, and paper diaries have problems with subjective descriptions and bias. Wearable sensor platforms; however, can accurately quantify symptoms such as tremor,

Externí odkaz: https://doaj.org/article/b4af1818147146539fa04de381785168

Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson's Disease Severity.

Autor: Morgan C; Translational Health Sciences, University of Bristol, Bristol, UK.; Movement Disorders Group, Bristol Brain Centre, North Bristol NHS Trust, Southmead Hospital, Bristol, UK., Masullo A; Faculty of Engineering, University of Bristol, Digital Health Offices, 1 Cathedral Square, Bristol, UK., Mirmehdi M; Faculty of Engineering, University of Bristol, Digital Health Offices, 1 Cathedral Square, Bristol, UK., Isotalus HK; Faculty of Engineering, University of Bristol, Digital Health Offices, 1 Cathedral Square, Bristol, UK., Jovan F; Faculty of Engineering, University of Bristol, Digital Health Offices, 1 Cathedral Square, Bristol, UK., McConville R; Faculty of Engineering, University of Bristol, Digital Health Offices, 1 Cathedral Square, Bristol, UK., Tonkin EL; Faculty of Engineering, University of Bristol, Digital Health Offices, 1 Cathedral Square, Bristol, UK., Whone A; Translational Health Sciences, University of Bristol, Bristol, UK.; Movement Disorders Group, Bristol Brain Centre, North Bristol NHS Trust, Southmead Hospital, Bristol, UK., Craddock I; Faculty of Engineering, University of Bristol, Digital Health Offices, 1 Cathedral Square, Bristol, UK.

Publikováno v: Digital biomarkers [Digit Biomark] 2023 Aug 14; Vol. 7 (1), pp. 92-103. Date of Electronic Publication: 2023 Aug 14 (Print Publication: 2023).