{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:50:16Z","timestamp":1775083816858,"version":"3.50.1"},"reference-count":110,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T00:00:00Z","timestamp":1740009600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>(1) Background: Wearable sensors have emerged as a promising technology in the management of Parkinson\u2019s disease (PD). These sensors can provide continuous and real-time monitoring of various motor and non-motor symptoms of PD, allowing for early detection and intervention. In this paper, I review current research on the application of wearable sensors in PD, focusing on gait, tremor, bradykinesia, and dyskinesia monitoring.(2) Methods: this involved a literature search that spanned the 2000\u20132024 period and included the following keywords: \u201cwearable sensors\u201d, \u201cParkinson\u2019s Disease\u201d, \u201cInertial sensors\u201d, \u201caccelerometers\u2019\u2019, \u2018\u2019gyroscopes\u2019\u2019, \u2018\u2019magnetometers\u201d, \u201cSmartphones\u201d, and \u201cSmart homes\u201d. (3) Results: Despite favorable outcomes from the early development of inertial sensors, like gyroscopes and accelerometers in smartphones, the application of wearable sensors is still restricted because there are no standards, harmonization, or consensus for both clinical and analytical validation. As a result, several clinical trials were created to compare the effectiveness of wearable sensors with conventional evaluation methods in order to track the course of the disease and enhance the quality of life and results. (4) Conclusions: wearable sensors hold great promise in the management of PD and are likely to play a significant role in future healthcare systems.<\/jats:p>","DOI":"10.3390\/jsan14020023","type":"journal-article","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T06:10:21Z","timestamp":1740031821000},"page":"23","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Application of Wearable Sensors in Parkinson\u2019s Disease: State of the Art"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3006-8711","authenticated-orcid":false,"given":"Anastasia","family":"Bougea","sequence":"first","affiliation":[{"name":"1st Department of Neurology, \u201cAiginition\u201d Hospital, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Bougea, A., and Angelopoulou, E. 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