TY - JOUR
T1 - Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study
AU - the Parkinson Study Group Watch-PD Study Investigators and Collaborators
AU - Adams, Jamie L.
AU - Kangarloo, Tairmae
AU - Tracey, Brian
AU - O’Donnell, Patricio
AU - Volfson, Dmitri
AU - Latzman, Robert D.
AU - Zach, Neta
AU - Alexander, Robert
AU - Bergethon, Peter
AU - Cosman, Joshua
AU - Anderson, David
AU - Best, Allen
AU - Severson, Joan
AU - Kostrzebski, Melissa A.
AU - Auinger, Peggy
AU - Wilmot, Peter
AU - Pohlson, Yvonne
AU - Waddell, Emma
AU - Jensen-Roberts, Stella
AU - Gong, Yishu
AU - Kilambi, Krishna Praneeth
AU - Herrero, Teresa Ruiz
AU - Ray Dorsey, E.
AU - Adams, Jamie L.
AU - Tarolli, Christopher
AU - Waddell, Emma
AU - Jensen-Roberts, Stella
AU - Soto, Julia
AU - Hogarth, Penelope
AU - Wahedi, Mastura
AU - Wakeman, Katrina
AU - Espay, Alberto J.
AU - Brown, Julia
AU - Wurzelbacher, Christina
AU - Gunzler, Steven A.
AU - Khawam, Elisar
AU - Kilbane, Camilla
AU - Spindler, Meredith
AU - Engeland, Megan
AU - Tarakad, Arjun
AU - Barrett, Matthew J.
AU - Cloud, Leslie J.
AU - Norris, Virginia
AU - Mari, Zoltan
AU - Wyant, Kara J.
AU - Chou, Kelvin
AU - Stovall, Angela
AU - Poon, Cynthia
AU - Simuni, Tanya
AU - Tingling, Kyle
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - Digital health technologies can provide continuous monitoring and objective, real-world measures of Parkinson’s disease (PD), but have primarily been evaluated in small, single-site studies. In this 12-month, multicenter observational study, we evaluated whether a smartwatch and smartphone application could measure features of early PD. 82 individuals with early, untreated PD and 50 age-matched controls wore research-grade sensors, a smartwatch, and a smartphone while performing standardized assessments in the clinic. At home, participants wore the smartwatch for seven days after each clinic visit and completed motor, speech and cognitive tasks on the smartphone every other week. Features derived from the devices, particularly arm swing, the proportion of time with tremor, and finger tapping, differed significantly between individuals with early PD and age-matched controls and had variable correlation with traditional assessments. Longitudinal assessments will inform the value of these digital measures for use in future clinical trials.
AB - Digital health technologies can provide continuous monitoring and objective, real-world measures of Parkinson’s disease (PD), but have primarily been evaluated in small, single-site studies. In this 12-month, multicenter observational study, we evaluated whether a smartwatch and smartphone application could measure features of early PD. 82 individuals with early, untreated PD and 50 age-matched controls wore research-grade sensors, a smartwatch, and a smartphone while performing standardized assessments in the clinic. At home, participants wore the smartwatch for seven days after each clinic visit and completed motor, speech and cognitive tasks on the smartphone every other week. Features derived from the devices, particularly arm swing, the proportion of time with tremor, and finger tapping, differed significantly between individuals with early PD and age-matched controls and had variable correlation with traditional assessments. Longitudinal assessments will inform the value of these digital measures for use in future clinical trials.
UR - http://www.scopus.com/inward/record.url?scp=85153300632&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85153300632&partnerID=8YFLogxK
U2 - 10.1038/s41531-023-00497-x
DO - 10.1038/s41531-023-00497-x
M3 - Article
AN - SCOPUS:85153300632
SN - 2373-8057
VL - 9
JO - npj Parkinson's Disease
JF - npj Parkinson's Disease
IS - 1
M1 - 64
ER -