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Continuous tremor monitoring in Parkinson’s disease: A wristwatch-inspired triboelectric sensor approach
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dc.contributor.author Ukasi, Sirinya -
dc.contributor.author Pongampai, Satana -
dc.contributor.author Panigrahi, Basanta Kumar -
dc.contributor.author Panda, Swati -
dc.contributor.author Hajra, Sugato -
dc.contributor.author Kim, Hoe Joon -
dc.contributor.author Vittayakom, Naratip -
dc.contributor.author Charoonsuk, Thitirat -
dc.date.accessioned 2024-12-20T18:40:14Z -
dc.date.available 2024-12-20T18:40:14Z -
dc.date.created 2024-12-20 -
dc.date.issued 2024-12 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57306 -
dc.description.abstract Parkinson's disease (PD) prevalence is projected to reach 12 million by 2040. Wearable sensors offer a promising approach for comfortable, continuous tremor monitoring to optimize treatment strategies. Here, we present a wristwatch-like triboelectric sensor (WW-TES) inspired by automatic watches for unobtrusive PD tremor assessment. The WW-TES utilizes a free-standing design with a surface-modified polytetrafluoroethylene (PTFE) film and a stainless-steel rotor within a biocompatible polylactic acid (PLA) package. Electrode distance is optimized to maximize the output signal. We propose and discuss the WW-TES working mechanism. The final design is validated for activities of daily living (ADLs), with varying signal amplitudes corresponding to tremor severity levels (“normal” to “severe”) based on MDS-UPDRS tremor frequency. Wavelet packet transform (WPT) is employed for signal analysis during ADLs. The WW-TES demonstrates the potential for continuous tremor monitoring, offering an accurate screening of severity and comfortable, unobtrusive wearability. © 2024 The Author(s) -
dc.language English -
dc.publisher Cell Press -
dc.title Continuous tremor monitoring in Parkinson’s disease: A wristwatch-inspired triboelectric sensor approach -
dc.type Article -
dc.identifier.doi 10.1016/j.isci.2024.111480 -
dc.identifier.wosid 001375750800001 -
dc.identifier.scopusid 2-s2.0-85211145778 -
dc.identifier.bibliographicCitation Ukasi, Sirinya. (2024-12). Continuous tremor monitoring in Parkinson’s disease: A wristwatch-inspired triboelectric sensor approach. iScience, 27(12). doi: 10.1016/j.isci.2024.111480 -
dc.description.isOpenAccess TRUE -
dc.citation.number 12 -
dc.citation.title iScience -
dc.citation.volume 27 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Science & Technology - Other Topics -
dc.relation.journalWebOfScienceCategory Multidisciplinary Sciences -
dc.type.docType Article -
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Kim, Hoe Joon김회준

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