{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T13:16:56Z","timestamp":1778591816021,"version":"3.51.4"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T00:00:00Z","timestamp":1655078400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T00:00:00Z","timestamp":1655078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["npj Digit. Med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Parkinson\u2019s disease (PD) lacks sensitive, objective, and reliable measures for disease progression and response. This presents a challenge for clinical trials given the multifaceted and fluctuating nature of PD symptoms. Innovations in digital health and wearable sensors promise to more precisely measure aspects of patient function and well-being. Beyond research trials, digital biomarkers and clinical outcome assessments may someday support clinician-initiated or closed-loop treatment adjustments. A recent study from Verily Life Sciences presents results for a smartwatch-based motor exam intended to accelerate the development and evaluation of therapies for PD.<\/jats:p>","DOI":"10.1038\/s41746-022-00619-4","type":"journal-article","created":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T10:06:04Z","timestamp":1655114764000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Watching Parkinson\u2019s disease with wrist-based sensors"],"prefix":"10.1038","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6134-4339","authenticated-orcid":false,"given":"James A.","family":"Diao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8050-9402","authenticated-orcid":false,"given":"Marium M.","family":"Raza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaushik P.","family":"Venkatesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7517-2291","authenticated-orcid":false,"given":"Joseph C.","family":"Kvedar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,13]]},"reference":[{"key":"619_CR1","unstructured":"Smartwatch market grows 27% YoY in Q2 2021; Apple watch user base crosses 100 million. 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Disord."},{"key":"619_CR6","doi-asserted-by":"publisher","first-page":"eabd7865","DOI":"10.1126\/scitranslmed.abd7865","volume":"13","author":"R Powers","year":"2021","unstructured":"Powers, R. et al. Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson\u2019s disease. Sci. Transl. Med. 13, eabd7865 (2021).","journal-title":"Sci. Transl. Med."},{"key":"619_CR7","unstructured":"Verily Life Sciences. Letter of Intent for DDT COA #000142: Virtual Motor Exam for Parkinson\u2019s Disease https:\/\/www.fda.gov\/media\/149515\/download (2021)."},{"key":"619_CR8","unstructured":"US Food and Drug Administration. Letter of Intent Determination for DDT COA #000142: Virtual Motor Exam for Parkinson\u2019s Disease https:\/\/www.fda.gov\/media\/149517\/download (2021)."},{"key":"619_CR9","doi-asserted-by":"crossref","unstructured":"Dubey, H., Goldberg, J. C., Abtahi, M., Mahler, L. & Mankodiya, K. EchoWear: smartwatch technology for voice and speech treatments of patients with Parkinson\u2019s disease. In Proceedings of The Conference on Wireless Health 1\u20138 (Association for Computing Machinery, 2015).","DOI":"10.1145\/2811780.2811957"},{"key":"619_CR10","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1038\/s41746-021-00502-8","volume":"4","author":"MR Ali","year":"2021","unstructured":"Ali, M. R. et al. Facial expressions can detect Parkinson\u2019s disease: preliminary evidence from videos collected online. NPJ Digit Med 4, 129 (2021).","journal-title":"NPJ Digit Med"},{"key":"619_CR11","doi-asserted-by":"publisher","first-page":"2821","DOI":"10.3390\/s21082821","volume":"21","author":"C Chatzaki","year":"2021","unstructured":"Chatzaki, C. et al. The smart-insole dataset: gait analysis using wearable sensors with a focus on elderly and Parkinson\u2019s patients. 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J.A.D. was previously employed by Apple, Inc. The other authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"73"}}