Publication: Continuous tremor monitoring in Parkinson's disease: A wristwatch-inspired triboelectric sensor approach
| dc.contributor.author | Ukasi S. | |
| dc.contributor.author | Pongampai S. | |
| dc.contributor.author | Panigrahi B.K. | |
| dc.contributor.author | Panda S. | |
| dc.contributor.author | Hajra S. | |
| dc.contributor.author | Kim H.J. | |
| dc.contributor.author | Vittayakorn N. | |
| dc.contributor.author | Charoonsuk T. | |
| dc.contributor.correspondence | Ukasi S. | |
| dc.contributor.other | Srinakharinwirot University | |
| dc.date.accessioned | 2025-05-28T07:56:03Z | |
| dc.date.issued | 2024-12-20 | |
| dc.date.issuedBE | 2567-12-20 | |
| 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. | |
| dc.identifier.citation | iScience Vol.27 No.12 (2024) | |
| dc.identifier.doi | 10.1016/j.isci.2024.111480 | |
| dc.identifier.eissn | 25890042 | |
| dc.identifier.scopus | 2-s2.0-85211145778 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/20608 | |
| dc.rights.holder | SCOPUS | |
| dc.subject | Multidisciplinary | |
| dc.title | Continuous tremor monitoring in Parkinson's disease: A wristwatch-inspired triboelectric sensor approach | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 12 | |
| oaire.citation.title | iScience | |
| oaire.citation.volume | 27 | |
| oairecerif.author.affiliation | Daegu Gyeongbuk Institute of Science and Technology | |
| oairecerif.author.affiliation | Siksha O Anusandhan (Deemed to be University) | |
| oairecerif.author.affiliation | King Mongkut's Institute of Technology Ladkrabang | |
| oairecerif.author.affiliation | King Mongkut's University of Technology Thonburi | |
| oairecerif.author.affiliation | Srinakharinwirot University | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85211145778&origin=inward |
