{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T05:06:41Z","timestamp":1779944801113,"version":"3.53.1"},"reference-count":32,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T00:00:00Z","timestamp":1779926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Robot. AI"],"abstract":"<jats:p>During stroke rehabilitation, the recovery of upper-limb motor function is a primary therapeutic objective. Accurate rehabilitation assessment is essential for the scientific design and implementation of individualized training programs. However, current clinical practice predominantly relies on scale-based manual evaluations, which depend heavily on clinicians\u2019 subjective judgment and may compromise objectivity and accuracy. To overcome this limitation, this study develops a novel horizontal upper-limb rehabilitation robot for quantifying patient movement data and proposes an upper-limb rehabilitation assessment model based on semi-quantitative information. The model integrates quantitative data collected by the robot with expert knowledge, employing a BRB algorithm to dynamically and objectively evaluate patients\u2019 rehabilitation status. To validate the accuracy and effectiveness of the proposed method, BP and SVM neural networks are adopted for comparative models. Comparative analysis demonstrates that the semi-quantitative information-based BRB model achieves significantly higher accuracy than the alternative models. This approach not only enables rapid and precise monitoring of patients\u2019 rehabilitation progress but also provides a robust foundation for the scientific formulation of individualized rehabilitation training plans.<\/jats:p>","DOI":"10.3389\/frobt.2026.1830732","type":"journal-article","created":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T04:53:40Z","timestamp":1779944020000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Rehabilitation assessment of upper limb motor function in stroke patients based on semi-quantitative information"],"prefix":"10.3389","volume":"13","author":[{"given":"Jiansheng","family":"Ding","sequence":"first","affiliation":[{"name":"Applied Technology College, Changchun University of Technology","place":["Changchun, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenchao","family":"Sun","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Changchun University of Technology","place":["Changchun, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiecheng","family":"Ji","sequence":"additional","affiliation":[{"name":"Rehabilitation Department, Jilin Electric Power Hospital","place":["Changchun, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manlin","family":"Chen","sequence":"additional","affiliation":[{"name":"Applied Technology College, Changchun University of Technology","place":["Changchun, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Applied Technology College, Changchun University of Technology","place":["Changchun, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,5,28]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"3489","DOI":"10.1109\/tfuzz.2020.3024024","article-title":"On the interpretability of belief rule-based expert systems","volume":"29","author":"Cao","year":"2021","journal-title":"IEEE Trans. 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