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A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills

文献类型：期刊论文

作者Sui, Mengli4; Ouyang, Yiming4; Jin, Hu4; Chai, Zhenyi4; Wei, Changyang4; Li, Jiyu2,3; Xu, Min4; Li, Weihua1; Wang, Liu2,3; Zhang, Shiwu4
刊名NATURE MACHINE INTELLIGENCE
出版日期2023-10-05
页码14
DOI10.1038/s42256-023-00728
通讯作者Jin, Hu(jhrdsp@ustc.edu.cn) ; Wang, Liu(wangliu05@ustc.edu.cn) ; Zhang, Shiwu(swzhang@ustc.edu.cn)
英文摘要Regaining fine motor skills (FMSs; that is, the ability to make precise and coordinated movements of fingers) is the ultimate goal of hand rehabilitation. Although robotic-assisted technologies have been widely explored to help patients with simple hand activities, existing rehabilitation gloves still lack sensory feedback for closed-loop control or involve bulky external hardware, incapable of providing precise FMSs rehabilitation portably. Here we develop a soft rehabilitation glove that can accomplish diverse FMSs by integrating 15 bending sensors and 10 shape-memory-alloy (SMA) actuators. Three joint angles of each finger can be precisely sensed and thus are fed to the control system to actuate SMAs in a closed-loop manner. A touchable human-machine interface is also integrated to provide facile interaction for multi-modal rehabilitation exercises. Weighing only 0.49 kg, our soft glove has high portability, allowing for repetitive hand rehabilitation as needed. We validate that our glove can assist an individual with hand impairments after a stroke to realize a set of single and complex FMS rehabilitation exercises and to complete some activities of daily living. Fine motor skill recovery in hand rehabilitation is a challenge due to limited finger movement sensing and closed-loop control algorithms in existing rehabilitation gloves. Sui et al. develop a soft-packaged rehabilitation glove, integrating sensing, actuation, a human-machine interface, power, electronics and a closed-loop algorithm. The glove aids patients after a stroke to recover fine motor skills of the fingers in a portable manner.
WOS关键词HAND EXOSKELETON ; DESIGN ; DRIVEN ; ROBOT ; ACTUATORS ; THERAPY ; STROKE ; SYSTEM
资助项目This work is supported by National Natural Science Foundation of China (numbers 51975550, U21A20119, 12272369 and 51705495), National Key Research and Development Program of China (number 2022YFC2408100), Provincial Key Research and Development Program of[51975550] ; This work is supported by National Natural Science Foundation of China (numbers 51975550, U21A20119, 12272369 and 51705495), National Key Research and Development Program of China (number 2022YFC2408100), Provincial Key Research and Development Program of[U21A20119] ; This work is supported by National Natural Science Foundation of China (numbers 51975550, U21A20119, 12272369 and 51705495), National Key Research and Development Program of China (number 2022YFC2408100), Provincial Key Research and Development Program of[12272369] ; This work is supported by National Natural Science Foundation of China (numbers 51975550, U21A20119, 12272369 and 51705495), National Key Research and Development Program of China (number 2022YFC2408100), Provincial Key Research and Development Program of[51705495] ; National Natural Science Foundation of China[2022YFC2408100] ; National Key Research and Development Program of China[202104h04020004] ; Provincial Key Research and Development Program of Anhui Province[2008085UD02] ; Natural Science Foundation of Anhui Province of China[WK5290000002] ; Fundamental Research Funds for the Central Universities
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001076205100001
资助机构This work is supported by National Natural Science Foundation of China (numbers 51975550, U21A20119, 12272369 and 51705495), National Key Research and Development Program of China (number 2022YFC2408100), Provincial Key Research and Development Program of ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Provincial Key Research and Development Program of Anhui Province ; Natural Science Foundation of Anhui Province of China ; Fundamental Research Funds for the Central Universities
源URL[http://dspace.imech.ac.cn/handle/311007/93111]  
专题力学研究所_非线性力学国家重点实验室
通讯作者Jin, Hu; Wang, Liu; Zhang, Shiwu
作者单位1.Univ Wollongong, Sch Mech Mat Mechatron & Biomed Engn, Wollongong, NSW, Australia
2.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing, Peoples R China
3.Univ Sci & Technol China, Dept Modern Mech, CAS Key Lab Mech Behav & Design Mat, Hefei, Peoples R China
4.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, CAS Key Lab Mech Behav & Design Mat, Hefei, Peoples R China
推荐引用方式
GB/T 7714		 Sui, Mengli,Ouyang, Yiming,Jin, Hu,et al. A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills[J]. NATURE MACHINE INTELLIGENCE,2023:14.
APA Sui, Mengli.,Ouyang, Yiming.,Jin, Hu.,Chai, Zhenyi.,Wei, Changyang.,...&Zhang, Shiwu.(2023).A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills.NATURE MACHINE INTELLIGENCE,14.
MLA Sui, Mengli,et al."A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills".NATURE MACHINE INTELLIGENCE (2023):14.

入库方式： OAI收割

来源：力学研究所

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