Study on an Exoskeleton Hand Function Training Device_Journal of Biomedical Engineering

Authors：

HUXin , ZHANGYing , LIJicai , YIJinhua ,  YUHongliu , HERongrong

Institute Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology, Shanghai 200093, China;

Corresponding author：

YUHongliu, Email: yhl98@hotmail.com

Keywords：

exoskeleton; hand rehabilitation; electromyography control; stroke

DOI：

10.7507/1001-5515.20160006

Video：

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Abstract Full text Figures/Tables Video References Cited by

Based on the structure and motion bionic principle of the normal adult fingers, biological characteristics of human hands were analyzed, and a wearable exoskeleton hand function training device for the rehabilitation of stroke patients or patients with hand trauma was designed. This device includes the exoskeleton mechanical structure and the electromyography (EMG) control system. With adjustable mechanism, the device was capable to fit different finger lengths, and by capturing the EMG of the users’ contralateral limb, the motion state of the exoskeleton hand was controlled. Then driven by the device， the user’s fingers conducting adduction/abduction rehabilitation training was carried out. Finally, the mechanical properties and training effect of the exoskeleton hand were verified through mechanism simulation and the experiments on the experimental prototype of the wearable exoskeleton hand function training device.

Citation： HUXin, ZHANGYing, LIJicai, YIJinhua, YUHongliu, HERongrong. Study on an Exoskeleton Hand Function Training Device. Journal of Biomedical Engineering, 2016, 33(1): 23-30. doi: 10.7507/1001-5515.20160006 Copy

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12.	HUANG Y Y, LOW K H. Comprehensive signal interpretation of functional hand strength for activities of daily living (ADL) rehabilitation via multivariate data analysis (MVA)[C]// Proceedings of the 2009 IEEE International Conference on Mechatronics and Automation. Changchun: 2009: 937-942.
13.	邢科新. 手功能康复机器人系统若干关键技术研究[D]. 武汉: 华中科技大学, 2010.

1. 李继才, 官龙, 胡鑫, 等. 外骨骼式手功能康复训练器结构设计[J]. 中国康复理论与实践, 2013, 19(5): 412-415.
2. 郑若隐, 李继婷, 王爽, 等. 一种外骨骼式人手康复机器人的设计[J]. 中国康复医学杂志, 2011, 26(8): 759-762.
3. 贺琛, 张小栋, 杨玉涛. 上肢外骨骼机器人控制系统建模与设计[J]. 测控技术, 2009, 28(12): 31-35.
4. 郝云莺, 马玉清. 电脑中频配合运动疗法对脑卒中后手功能康复的疗效观察[J]. 中国健康月刊:学术版, 2011, 5(30): 598-600.
5. 石香彩. 脑卒中早期康复训练160例疗效观察[J]. 医学理论与实践, 2008, 21(3): 292-293.
6. WEGE A, KONDAK K, HOMMEL G. Force control strategy for a hand exoskeleton based on sliding mode position control[C]// Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. Beijing: 2006: 4616-4620.
7. CHIRI A, GIOVACCHINI F, VITIELLO N, et al. HANDEXOS: towards an exoskeleton device for the rehabilitation of the hand[C]// The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems. St. Louis: 2009: 1106-1111.
8. FONTANA M, DETTORI A, SALSEDO F, et al. Mechanical design of a novel Hand Exoskeleton for accurate force displaying[C]// 2009 IEEE International Conference on Robotics and Automation Kobe International Conference Center. Kobe: 2009: 1704-1709.
9. HU X L, TONG K Y, WEI X J, et al. The effects of post-stroke upper-limb training with an electromyography (EMG)-driven hand robot[J]. J Electromyogr Kinesiol, 2013, 23(5): 1065-1074.
10. 毕千, 肖华, 王晓龙, 等.一种外骨骼机械手及其使用方法:中国,CN101524297A[P].2009-09-09.
11. 王鹏, 付宜利, 王树国, 等. 创伤手指康复外骨骼手系统的设计[J]. 光学精密工程, 2010, 18(1): 108-117.
12. HUANG Y Y, LOW K H. Comprehensive signal interpretation of functional hand strength for activities of daily living (ADL) rehabilitation via multivariate data analysis (MVA)[C]// Proceedings of the 2009 IEEE International Conference on Mechatronics and Automation. Changchun: 2009: 937-942.
13. 邢科新. 手功能康复机器人系统若干关键技术研究[D]. 武汉: 华中科技大学, 2010.

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