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| DC Field | Value | Language |
|---|---|---|
| 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 | - |