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Development of a hand exoskeleton system for index finger rehabilitation

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Abstract

In order to overcome the drawbacks of traditional rehabilitation method, the robot-aided rehabilitation has been widely investigated for the recent years. And the hand rehabilitation robot, as one of the hot research fields, remains many challenging issues to be investigated. This paper presents a new hand exoskeleton system with some novel characteristics. Firstly, both active and passive rehabilitative motions are realized. Secondly, the device is elaborately designed and brings advantages in many aspects. For example, joint motion is accomplished by a parallelogram mechanism and high level motion control is therefore made very simple without the need of complicated kinematics. The adjustable joint limit design ensures that the actual joint angles don’t exceed the joint range of motion (ROM) and thus the patient safety is guaranteed. This design can fit to the different patients with different joint ROM as well as to the dynamically changing ROM for individual patient. The device can also accommodate to some extent variety of hand sizes. Thirdly, the proposed control strategy simultaneously realizes the position control and force control with the motor driver which only works in force control mode. Meanwhile, the system resistance compensation is preliminary realized and the resisting force is effectively reduced. Some experiments were conducted to verify the proposed system. Experimentally collected data show that the achieved ROM is close to that of a healthy hand and the range of phalange length (ROPL) covers the size of a typical hand, satisfying the size need of regular hand rehabilitation. In order to evaluate the performance when it works as a haptic device in active mode, the equivalent moment of inertia (MOI) of the device was calculated. The results prove that the device has low inertia which is critical in order to obtain good backdrivability. The experiments also show that in the active mode the virtual interactive force is successfully feedback to the finger and the resistance is reduced by one-third; for the passive control mode, the desired trajectory is realized satisfactorily.

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References

  1. TAO Quan. Hand rehabilitation [M]. Shanghai: Shanghai Jiao Tong University Press, 2006. (in Chinese)

    Google Scholar 

  2. KERBS H I, VOLPE B T, AISEN M L, et al. Increasing productivity and quality of care: Robot-aided neuro-rehabilitation[J]. Journal of Rehabilitation Research and Development, 2000, 37(6): 639–652.

    Google Scholar 

  3. FISCHER H C, STUBBLEFIELD K, Kline T, et al. Hand rehabilitation following stroke: A pilot study of assisted finger extension training in a virtual environment[J]. Topics in Stroke Rehabilitation, 2007, 14(1): 1–12.

    Article  Google Scholar 

  4. LU Guangming, SUN Lining, PENG Longgang. Analysis of the status and the key technology of the robot technology for rehabilitation[J]. Journal of Harbin Institute of Technology, 2004, 36(9): 1 224–1 231.

    Google Scholar 

  5. LAMBERCY O, DOVAT L, GASSERT R, et al. A haptic knob for rehabilitation of hand function[J]. IEEE Transaction on Neural Systems and Rehabilitaiton Engineering, 2007, 15(3): 356–366.

    Article  Google Scholar 

  6. MALI U, MUNIH M. HIFE-Haptic interface for finger exercise[J]. IEEE/ASME Transactions on Mechatronics, 2006, 11(1): 93–102.

    Article  Google Scholar 

  7. DOVAT L, LAMBERCY O, JOHNSON V, et al. A cable driven robotic system to train finger function after stroke[C]// Proceedings of the 2007 IEEE 10th International Conference on Rehabilitation Robotics, Noordwijk, Netherlands, June 13–15, 2007: 222–227.

  8. IMMERSION. CyberGrasp™ User’s Guide [EB/OL]. 2009-12-07 [2001-04-20]. http://www.cyberglovesystems.com/products/cybergrasp/overview

  9. BOUZIT M, BURDEA G, POPESCU G, et al. The Rutgers Master II -New design force-feedback glove[J]. IEEE/ASME Transactions on Mechatronics, 2002, 7(2): 256–263.

    Article  Google Scholar 

  10. LELIEVELD M J, MAENO T, TOMIYAMA T. Design and development of two concepts for a 4 DOF portable haptic interface with active and passive multi-point force feedback for the index finger[C]// ASME International Design Engineering Technical Conference & Computers and Information in Engineering Conference, Philadelphia, Pennsylvania, USA, September 10–13, 2006: 1–10.

  11. ITO S, KAWASAKI H, ISHIGRE Y. A design of fin motion assist equipment for disabled hand in robotic rehabilitation system[J]. Journal of the Franklin Institute, 2011, 348(1): 79–89.

    Article  MATH  Google Scholar 

  12. FU Yili, WANG Peng, WANG Shuguo, et al. Design and development of a portable exoskeleton based CPM machine for rehabilitation of hand injuries[C]// IEEE International Conference on Robotics and Biomimetics, Sanya, China, December 15–18, 2007:1 476–1 481.

  13. WEGE A, KONDAK K, HOMMEL G. Mechanical design and motion control of a hand exoskeleton for rehabilitation[C]// IEEE International Conference on Mechatronics and Automation, Niagara Falls, Ontario, Canada, July 29–August 1, 2005: 155–159.

  14. WORSNOPP T T, PESHKIN M A, COLGATE J E, et al. An actuated finger exoskeleton for hand rehabilitation following stroke[C]//IEEE 10th International Conference on Rehabilitation Robotics, Noordwijk aan Zee, Netherlands, June 13–15, 2007: 896–901.

  15. YAMAURA H, MATSUSHITA K, KATO R, et al. Development of hand rehabilitation system for paralysis patient-Universal design using wire-driven mechanism[C]//31th Annual International conference of the IEEE-EMBS, MN, USA, September 2–6, 2009:7 122–7 125.

  16. 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 Conf. on Intelligent Robots and Systems, St. Louis, USA, October 11–15, 2009: 1 106–1 111.

  17. BUCHHOLZ B, ARMSTRONG T, GLODSTEIN S. Anthropometric data for describing the kinematics of the human hand[J]. Ergonomics, 1992, 35(3): 261–273.

    Article  Google Scholar 

  18. MOURI T, KAWASAKI H, NISHIMOTO Y, et al. Development of robot hand for therapist education/training on rehabilitation[C]// Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, Oct. 29–Nov.2, 2007: 2 295–2 300.

  19. WANG Ju, LI Jiting, ZHANG Yuru, et al. Design of an exoskeleton for index finger rehabilitation[C]// Proceedings of the 31th Annual International Conference of the IEEE EMBS, Minneapolis, MN, USA, September 2–6, 2009: 5 957–5 960.

  20. JIANG Li, CUTKOSKY M R, RUUTIAINEN J, et al. Using haptic feedback to improve grasp force control in multiple sclerosis patients[J]. IEEE Transaction on Robotics, 2009, 25(3): 593–601.

    Article  Google Scholar 

  21. ZHANG Yuru, LI Jiting, LI Jianfeng. Robot dexterous hand: Modeling, Planning and Simulation[M]. Beijing: China Machine Press, 2007.

    Google Scholar 

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Correspondence to Jiting Li.

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This project is supported by National Natural Science Foundation of China (Grant No. 50975009)

LI Jiting, born in 1967, is currently an associate professor at State Key Laboratory of Virtual Reality Technology and Systems, Robotics Institute, Beihang University, China. Her research interests include robot kinematics and dynamics, haptic interfaces, and virtual rehabilitation.

WANG Shuang, born in 1985, is currently a master candidate at State Key Laboratory of Virtual Reality Technology and Systems, Robotics Institute, Beihang University, China.

WANG Ju, born in 1985, is currently a master candidate at State Key Laboratory of Virtual Reality Technology and Systems, Robotics Institute, Beihang University, China.

ZHENG Ruoyin, born in 1986, is currently a master candidate at State Key Laboratory of Virtual Reality Technology and Systems, Robotics Institute, Beihang University, China.

ZHANG Yuru, born in 1959, is currently a professor at State Key Laboratory of Virtual Reality Technology and Systems, Robotics Institute, Beihang University, China. Her research is focused on the design of new mechanisms for a variety of applications including robotics, haptic interface, rehabilitation, tele-operation and virtual prototyping.

CHEN Zhongyuan, born in 1987, is currently a master candidate at State Key Laboratory of Virtual Reality Technology and Systems, Robotics Institute, Beihang University, China.

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Li, J., Wang, S., Wang, J. et al. Development of a hand exoskeleton system for index finger rehabilitation. Chin. J. Mech. Eng. 25, 223–233 (2012). https://doi.org/10.3901/CJME.2012.02.223

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  • DOI: https://doi.org/10.3901/CJME.2012.02.223

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