{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T18:54:36Z","timestamp":1790016876018,"version":"4.0.1"},"reference-count":39,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T00:00:00Z","timestamp":1732233600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971262"],"award-info":[{"award-number":["61971262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017610","name":"Shenzhen Science and Technology Innovation Program","doi-asserted-by":"publisher","award":["JCYJ20220818101005011"],"award-info":[{"award-number":["JCYJ20220818101005011"]}],"id":[{"id":"10.13039\/501100017610","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Adv Healthcare Materials"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Human muscle activity contains rich information that can reflect human movement patterns and conditions of diseases or physical abnormalities. Flexible pressure sensors enable the assessment of muscle tremors in Parkinson's disease (PD) through Force Myography (FMG). Here, an easily fabricated, ultra\u2010sensitive, and stretchable piezoelectret pressure sensor is presented. Utilizing an effective integration of Kirigami structure and piezoelectret air gap, the sensor achieved a dynamic sensitivity of \u2248725 pC\/N (@5\u00a0Hz), measurement repeatability of &lt;2.5%, measurement hysteresis of &lt;1%, a pressure detection limit of &lt;15\u00a0Pa, a response time of \u22482.5\u00a0ms, stable output within \u00b13% over 40\u00a0000 cycles, and output decay of &lt;2.5% after 1000 cycles of complex deformation, meeting non\u2010distorted measurement conditions up to 20\u00a0Hz. Successful monitoring and assessment of hand muscle tremors are demonstrated. Furthermore, using a 1\u00d73 sensor array enabled tremor localization, achieving a high accuracy rate of 99.5% with machine learning algorithms. Additionally, the sensor facilitated the experimental quantification and assisted scoring of the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS\u2010UPDRS), with an accuracy of \u224885%. The sensor demonstrates potential for assisting in the diagnosis and rehabilitation monitoring of Parkinson's disease.<\/jats:p>","DOI":"10.1002\/adhm.202402010","type":"journal-article","created":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T23:06:44Z","timestamp":1732316804000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Kirigami\u2010Inspired Stretchable Piezoelectret Sensor for Analysis and Assessment of Parkinson's Tremor"],"prefix":"10.1002","volume":"14","author":[{"given":"Qisen","family":"Xie","sequence":"first","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School Tsinghua University  Shenzhen 518055 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liuyang","family":"Han","sequence":"additional","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School Tsinghua University  Shenzhen 518055 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