{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T17:34:44Z","timestamp":1774028084439,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T00:00:00Z","timestamp":1702339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this work, a lightweight compliant glove that detects scratching using data from microtubular stretchable sensors on each finger and an inertial measurement unit (IMU) on the palm through a machine learning model is presented: the SensorIsed Glove for Monitoring Atopic Dermatitis (SIGMA). SIGMA provides the user and clinicians with a quantifiable way of assaying scratch as a proxy to itch. With the quantitative information detailing scratching frequency and duration, the clinicians would be able to better classify the severity of itch and scratching caused by atopic dermatitis (AD) more objectively to optimise treatment for the patients, as opposed to the current subjective methods of assessments that are currently in use in hospitals and research settings. The validation data demonstrated an accuracy of 83% of the scratch prediction algorithm, while a separate 30 min validation trial had an accuracy of 99% in a controlled environment. In a pilot study with children (n = 6), SIGMA accurately detected 94.4% of scratching when the glove was donned. We believe that this simple device will empower dermatologists to more effectively measure and quantify itching and scratching in AD, and guide personalised treatment decisions.<\/jats:p>","DOI":"10.3390\/s23249782","type":"journal-article","created":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T09:15:33Z","timestamp":1702372533000},"page":"9782","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Sensorised Glove to Detect Scratching for Patients with Atopic Dermatitis"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3347-9815","authenticated-orcid":false,"given":"Cheuk-Yan","family":"Au","sequence":"first","affiliation":[{"name":"Institute for Health Innovation & Technology (iHealthtech), National University of Singapore (NUS) MD6, 14 Medical Drive, #14-01, Singapore 117599, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Syen Yee","family":"Leow","sequence":"additional","affiliation":[{"name":"Department of Dermatology, KK Women\u2019s and Children\u2019s Hospital, 100 Bukit Timah Road, Singapore 229899, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunxiao","family":"Yi","sequence":"additional","affiliation":[{"name":"Institute for Health Innovation & Technology (iHealthtech), National University of Singapore (NUS) MD6, 14 Medical Drive, #14-01, Singapore 117599, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Darrion","family":"Ang","sequence":"additional","affiliation":[{"name":"Institute for Health Innovation & Technology (iHealthtech), National University of Singapore (NUS) MD6, 14 Medical Drive, #14-01, Singapore 117599, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joo Chuan","family":"Yeo","sequence":"additional","affiliation":[{"name":"Institute for Health Innovation & Technology (iHealthtech), National University of Singapore (NUS) MD6, 14 Medical Drive, #14-01, Singapore 117599, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark Jean Aan","family":"Koh","sequence":"additional","affiliation":[{"name":"Department of Dermatology, KK Women\u2019s and Children\u2019s Hospital, 100 Bukit Timah Road, Singapore 229899, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4695-8762","authenticated-orcid":false,"given":"Ali Asgar Saleem","family":"Bhagat","sequence":"additional","affiliation":[{"name":"Institute for Health Innovation & Technology (iHealthtech), National University of Singapore (NUS) MD6, 14 Medical Drive, #14-01, Singapore 117599, Singapore"},{"name":"Department of Biomedical Engineering, National University of Singapore (NUS), 4 Engineering Drive 3, Singapore 117583, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"S475","DOI":"10.1016\/j.jaci.2005.10.018","article-title":"10. 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