{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T05:08:45Z","timestamp":1772082525092,"version":"3.50.1"},"reference-count":16,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2015,7,6]],"date-time":"2015-07-06T00:00:00Z","timestamp":1436140800000},"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 clinical settings, traditional stroke rehabilitation evaluation methods are subjectively scored by occupational therapists, and the assessment results vary individually. To address this issue, this study aims to develop a stroke rehabilitation assessment system by using inertial measurement units. The inertial signals from the upper extremities were acquired, from which three quantitative indicators were extracted to reflect rehabilitation performance during stroke patients\u2019 movement examination, i.e., shoulder flexion. Both healthy adults and stroke patients were recruited to correlate the proposed quantitative evaluation indices and traditional rehab assessment scales. Especially, as a unique feature of the study the weight for each of three evaluation indicators was estimated by the least squares method. The quantitative results demonstrate the proposed method accurately reflects patients\u2019 recovery from pre-rehabilitation, and confirm the feasibility of applying inertial signals to evaluate rehab performance through feature extraction. The implemented assessment scheme appears to have the potential to overcome some shortcomings of traditional assessment methods and indicates rehab performance correctly.<\/jats:p>","DOI":"10.3390\/s150716196","type":"journal-article","created":{"date-parts":[[2015,7,6]],"date-time":"2015-07-06T12:21:05Z","timestamp":1436185265000},"page":"16196-16209","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Inertial Sensing Based Assessment Methods to Quantify the Effectiveness of Post-Stroke Rehabilitation"],"prefix":"10.3390","volume":"15","author":[{"given":"Hsin-Ta","family":"Li","sequence":"first","affiliation":[{"name":"Graduate Institute of Biomedical Engineering, National Central University, Jhongli 320, Taiwan"}]},{"given":"Jheng-Jie","family":"Huang","sequence":"additional","affiliation":[{"name":"Graduate Institute of Biomedical Engineering, National Central University, Jhongli 320, Taiwan"}]},{"given":"Chien-Wen","family":"Pan","sequence":"additional","affiliation":[{"name":"Hsinchu Air Base, Hsinchu City 300, Taiwan"}]},{"given":"Heng-I.","family":"Chi","sequence":"additional","affiliation":[{"name":"Graduate Institute of Biomedical Engineering, National Central University, Jhongli 320, Taiwan"}]},{"given":"Min-Chun","family":"Pan","sequence":"additional","affiliation":[{"name":"Graduate Institute of Biomedical Engineering, National Central University, Jhongli 320, Taiwan"},{"name":"Department of Mechanical Engineering, National Central University, Jhongli 320, Taiwan"}]}],"member":"1968","published-online":{"date-parts":[[2015,7,6]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2014). 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Comput."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"299","DOI":"10.2340\/16501977-0676","article-title":"Arm Use in Patients with Subacute Stroke Monitored by Accelerometry: Association with Motor Impairment and Influence on Self-Dependence","volume":"43","author":"Thrane","year":"2011","journal-title":"J. Rehabil. 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