Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study
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Abstract
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.
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Preliminary results indicate that smartwatch technology can distinguish PD from healthy controls, even when PD patients are in early stages.
“Preliminary results indicate that smartwatch technology can distinguish PD from healthy controls, even when PD patients are in early stages. 83”
From Developing digital health technologies for frontotemporal degeneration (2025) · cites this paper as [83]
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Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem
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PARKINSON'S DISEASE - A REVIEW OF DIAGNOSTIC METHODS AND MODERN THERAPIES
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Digital Health, Smartphone-Based Motor Assessment, and Public Health
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- Authors
- Adams, J. L., Kangarloo, T., Tracey, B., O’Donnell, P., Volfson, D., Latzman, R. D., Zach, N., Alexander, R., Bergethon, P., Cosman, J., Anderson, D., Best, A., Severson, J., Kostrzebski, M. A., Auinger, P., Wilmot, P., Pohlson, Y., Waddell, E., Jensen-Roberts, S., Gong, Y., Kilambi, K. P., Herrero, T. R., Ray Dorsey, E., the Parkinson Study Group Watch-PD Study Investigators and Collaborators, Adams, J. L., Tarolli, C., Waddell, E., Jensen-Roberts, S., Soto, J., Hogarth, P., Wahedi, M., Wakeman, K., Espay, A. J., Brown, J., Wurzelbacher, C., Gunzler, S. A., Khawam, E., Kilbane, C., Spindler, M., Engeland, M., Tarakad, A., Barrett, M. J., Cloud, L. J., Norris, V., Mari, Z., Wyant, K. J., Chou, K., Stovall, A., Poon, C., Simuni, T., Tingling, K., Luthra, N., Tanner, C., Yilmaz, E., Romero, D., Thomas, K., Matson, L., Richardson, L., Fullard, M., Feuerstein, J., Shelton, E., Shprecher, D., Callan, M., Feigin, A., Romano, C., Romain, M., Shum, M., Botting, E., Harrell, L., Rocha, C., Ramdhani, R., Gardner, J., Parker, G., Ross, V., Stephen, S., Fisher, K., Edgerton, J., Cedarbaum, J., Rubens, R., Padmanabhan, J., Stephenson, D., Severson, B., Merickel, M., Amato, D. J., & Carroll, T.
- Affiliations
- Banner Health (US)
- AbbVie (United States) (US)
- University of Rochester Medicine (US)
- Harvard University (US)
- Gates Foundation (US)
- University of Rochester (US)
- Oregon Health & Science University (US)
- University of Cincinnati (US)
- University Hospitals Cleveland Medical Center (US)
- University of Pennsylvania (US)
- Baylor College of Medicine (US)
- Virginia Commonwealth University (US)
- Cleveland Clinic (US)
- University of Michigan (US)
- Northwestern University (US)
- University of California, San Francisco (US)
- Sentara Virginia Beach General Hospital (US)
- University of Colorado Denver (US)
- New York University (US)
- University of South Florida (US)
- Northwell Health (US)
- Biogen (United States) (US)
- Critical Path Institute (US)
- Digital Artefacts (United States) (US)
- ORCID
- Kangarloo, Tairmae
- Tracey, Brian
- O’Donnell, Patricio
- Volfson, Dmitri
- Latzman, Robert D.
- Zach, Neta
- Alexander, Robert
- Bergethon, Peter
- Cosman, Joshua
- Anderson, David
- Best, Allen
- Severson, Joan
- Kostrzebski, Melissa A.
- Auinger, Peggy
- Gong, Yishu
- Kilambi, Krishna Praneeth
- Ray Dorsey, E.
- Tarolli, Christopher
- Soto, Julia
- Hogarth, Penelope
- Wakeman, Katrina
- Espay, Alberto J.
- Brown, Julia
- Gunzler, Steven A.
- Kilbane, Camilla
- Spindler, Meredith
- Tarakad, Arjun
- Barrett, Matthew J.
- Cloud, Leslie J.
- Mari, Zoltan
- Wyant, Kara J.
- Chou, Kelvin
- Poon, Cynthia
- Simuni, Tanya
- Luthra, Nijee
- Tanner, Caroline
- Fullard, Michelle
- Feuerstein, Jeanne
- Shprecher, David
- Ramdhani, Ritesh
- Stephen, Steve
- Cedarbaum, Jesse
- Padmanabhan, Jaya
- Stephenson, Diane
- Merickel, Michael
- Venue
- npj Parkinson's Disease
- Published
- 2023-04-17
- Volume
- 9
- Issue
- 1
- Pages
- 64-64
- ISSN
- 2373-8057 (ISSN-L)
- PMC
- PMC10108794
- OpenAlex
- W4366086083
- Cited by
- 98
- References
- 54
- Citations by year
- 2026: 20 · 2025: 36 · 2024: 34 · 2023: 8
- FWCI
- 16.67
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Parkinson s Disease (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Eli Lilly and Company
- Pfizer
- Sanofi
- Biogen
- University of Rochester
- University of Cincinnati
- University of South Florida
- Sunovion
- US WorldMeds
- Parkinson Study Group
- Acorda Therapeutics
- Denali Therapeutics
- Farmer Family Foundation
- York University
- University of Cambridge
- National Institutes of Health (UL1TR002369)
- Genentech
- University of Colorado Denver
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Keywords
- Parkinson's disease, early-stage Parkinson's disease, smartwatches, mobile application, wearable sensors, digital health, arm swing, tremor, finger tapping, motor symptoms, speech, cognitive assessment
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