Article(id=1320388881040658883, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388863101612371, articleNumber=null, orderNo=null, doi=10.11876/mimt202502002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1792734840878, onlineDateStr=2026-10-23, pubDate=1744214400000, pubDateStr=2025-04-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792734840878, onlineIssueDateStr=2026-10-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792734840878, creator=13701087609, updateTime=1792734840878, updator=13701087609, issue=Issue{id=1320388863101612371, tenantId=1146029695717560320, journalId=1319373289681944729, year='2025', volume='31', issue='2', pageStart='1', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='1744214400000', pubDateStr='2025-04-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792734836602, creator='13701087609', updateTime=1792746450319, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320437574611620097, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388863101612371, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320437574611620098, tenantId=1146029695717560320, journalId=1319373289681944729, issueId=1320388863101612371, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6, endPage=12, ext={EN=ArticleExt(id=1320388881204236740, articleId=1320388881040658883, tenantId=1146029695717560320, journalId=1319373289681944729, language=EN, title=Review of research on hand rehabilitation robots research, columnId=null, journalTitle=Modern Instruments & Medical Treatment, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Physical rehabilitation training plays a crucial role in the recovery of hand function for patients after stroke. Currently, the hand rehabilitation training for stroke patients is mainly carried out by rehabilitation physicians. Hand rehabilitation robots can effectively alleviate the shortage of rehabilitation medical resources and reduce the workload of rehabilitation physicians. Their rehabilitation effects have been confirmed in clinical trials, but there is still room for improvement in terms of reliability and intelligence. This paper starts with the physiological structure of the human hand and the movement characteristics of the hand after stroke to introduce the rehabilitation needs of stroke patients. Then, it classifies the existing hand rehabilitation robots based on their structural forms and driving methods, elaborates on their application scenarios and features in detail, and summarizes typical control strategies and the evaluation standards for hand motor ability after stroke. Finally, it analyzes the existing problems of hand rehabilitation robots and looks forward to their development trends.

, authors=Fenglin Han, Lizhen Wang, Pengju Liu, Yubo Fan, authorsList=Fenglin Han, Lizhen Wang, Pengju Liu, Yubo Fan, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=All copyrights in 2025 belong to the sponsor of the journal.Not content published by the journal may be reproduced or abridged without authorization., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1320388881615278534, articleId=1320388881040658883, tenantId=1146029695717560320, journalId=1319373289681944729, language=CN, title=脑卒中后手部康复机器人辅助训练系统研究, columnId=1320388881296511429, journalTitle=现代仪器与医疗, columnName=专论, runingTitle=null, highlight=null, articleAbstract=

物理康复训练对于脑卒中后患者手部功能的恢复起着至关重要的作用。目前，脑卒中患者的手部康复训练工作主要由康复医师承担。手部康复机器人辅助训练，能够有效缓解当下康复医疗资源紧缺的困境，同时降低康复医师的工作强度。其康复效果已在临床试验中得到证实，不过，在可靠性和智能化方面仍有提升空间。本文从人体手部的生理结构以及脑卒中后手部运动特征入手，引出脑卒中患者的康复需求；接着，依据结构方式与驱动形式，对现有的手部康复机器人进行分类，详细阐述其应用场景和特点，并归纳典型控制策略，总结脑卒中后手部运动能力的评定标准；最后，分析当前手部康复机器人存在的问题，并对其发展趋势进行展望。

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