Skip to main content
Book cover

International Conference on Intelligent Robotics and Applications

ICIRA 2019: Intelligent Robotics and Applications pp 213–225Cite as

Design of Finger Exoskeleton Rehabilitation Robot Using the Flexible Joint and the MYO Armband

  • 1717 Accesses

Part of the Lecture Notes in Computer Science book series (LNAI,volume 11745)

Abstract

High-risk diseases such as stroke can do great harm to human hands. Hand rehabilitation for stroke patients is a complex and necessary task. To achieve this goal, this paper introduces a hand exoskeleton equipment with flexible joints and EMG-base motion prediction. Experiment of the equipment includes kinematics analysis, EMG signal detection by MYO armband and motion prediction base on BP neural network. The result shows that the device can not only assists patient bending or extending fingers, but also perform six kinds of rehabilitation exercises with 92% accuracy for target motion recognition.

Keywords

  • Flexible joints
  • Wire-driven
  • Rehabilitation robot

This is a preview of subscription content, access via your institution.

Chapter
GBP   19.95
Price includes VAT (United Kingdom)
  • DOI: 10.1007/978-3-030-27529-7_19
  • Chapter length: 13 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
GBP   63.99
Price includes VAT (United Kingdom)
  • ISBN: 978-3-030-27529-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
GBP   79.99
Price includes VAT (United Kingdom)
Learn about institutional subscriptions
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.

References

  1. Ates, S., Haarman, C.J.W., Stienen, A.H.A.: SCRIPT passive orthosis: design of interactive hand and wrist exoskeleton for rehabilitation at home after stroke. Auton. Robots 41(3), 711–723 (2017)

    CrossRef  Google Scholar 

  2. Wolf, S.L., Blanton, S., Baer, H., et al.: Repetitive task practice: a critical review of constraint-induced movement therapy in stroke. Neurologist 8(6), 325–338 (2002)

    Google Scholar 

  3. Diez, J.A., Catalan, J.M., Lledo, L.D., et al.: Multimodal robotic system for upper-limb rehabilitation in physical environment. Adv. Mech. Eng. 8(9), 8/9/1687814016670282 (2016)

    CrossRef  Google Scholar 

  4. Sarac, M., Solazzi, M., Sotgiu, E., et al.: Design and kinematic optimization of a novel underactuated robotic hand exoskeleton. Meccanica 52, 749–761 (2017)

    MathSciNet  CrossRef  Google Scholar 

  5. Hansen, C., Gosselin, F., Ben Mansour, K., et al.: Design-validation of a hand exoskeleton using musculoskeletal modeling. Appl. Ergon. 68, 283–288 (2018)

    CrossRef  Google Scholar 

  6. Kim, S.J., Kim, Y., Lee, H., Ghasemlou, P., Kim, J.: Development of an MR-compatible hand exoskeleton that is capable of providing interactive robotic rehabilitation during fMRI imaging. Med. Biol. Eng. Comput. 56, 261–272 (2018)

    CrossRef  Google Scholar 

  7. Dicicco, M., Lucas, L., Matsuoka, Y.: Comparison of control strategies for an EMG controlled orthotic exoskeleton for the hand. In: Proceedings of IEEE International Conference on Robotics and Automation, New Orleans, LA, USA, pp. 1622–1627. IEEE (2004)

    Google Scholar 

  8. Bouzit, M., Burdea, G., Popescu, G., Boian, R.: The Rutgers Master II new design force feedback glove. IEEE/ASME Trans. Mechatron 7, 256–263 (2002)

    CrossRef  Google Scholar 

  9. Yisheng, T.M.: Robotic Glove for Hand Rehabilitation [OL] (2019). http://www.siyizn.com. Accessed 27 Mar 2019

  10. Adamovich, S., Merians, A., Boian, R., Tremaine, M., et al.: A virtual reality-based exercise system for hand rehabilitation post stroke. Teleoperators Virtual Environ. 14(2), 161–174 (2005)

    CrossRef  Google Scholar 

  11. Wang, J., Li, J., Zhang, Y., Wang, S.: Design of an exoskeleton for index finger rehabilitation. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2009, pp. 5957–5960. IEEE (2009)

    Google Scholar 

  12. Conti, R., et al.: Kinematic synthesis and testing of a new portable hand exoskeleton. Meccanica 52, 2873–2897 (2017)

    MathSciNet  CrossRef  Google Scholar 

  13. Randazzo, L., Iturrate, I., Perdikis, S., et al.: mano: A wearable hand exoskeleton for activities of daily living and neurorehabilitation. IEEE Robot. Autom. Lett. 3(1), 500–507 (2018)

    CrossRef  Google Scholar 

  14. Bataller, A., Cabrera, J.A., Clavijo, M., Castillo, J.J.: Evolutionary synthesis of mechanisms applied to the design of an exoskeleton for finger rehabilitation. Mech. Mach. Theory 105, 31–43 (2016)

    CrossRef  Google Scholar 

  15. Park, Y., Jo, I., Lee, J., et al.: A dual-cable hand exoskeleton system for virtual reality. Mechatronics 49, 177–186 (2018)

    CrossRef  Google Scholar 

  16. Tadano, K., Akai, M., Kadota, K., Kawashima, K.: Development of grip amplified glove using bi-articular mechanism with pneumatic artificial rubber muscle. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2363–2368 (2010)

    Google Scholar 

  17. Biggar, S., Yao, W.: Design and evaluation of a soft and wearable robotic glove for hand rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 24(10), 1 (2016)

    CrossRef  Google Scholar 

  18. Hu, X., Tong, K., Wei, X., Rong, W., Susanto, E., Ho, S.: The effects of post-stroke upper-limb training with an electromyography (EMG)-driven hand robot. J. Electromyogr. Kinesiol. 23(5), 1065–1074 (2013)

    CrossRef  Google Scholar 

  19. Jones, C.L., Wang, F., Morrison, R., et al.: Design and development of the cable actuated finger exoskeleton for hand rehabilitation following stroke. IEEE/ASME Trans. Mechatron. 19(1), 131–140 (2014)

    CrossRef  Google Scholar 

Download references

Acknowledgement

This paper is supported by the Primary Research & Development Program of Jiangsu Province (Grant No. BE2015701), the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20170898), the Natural Science Foundation of Higher Education Institutions of Jiangsu Province, China (Grant No. 16KJB460017), and the NUPTSF (Grant No. NY215050, No. NY218027 and No. 2018XZZ06).

Author information

Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, China

    Jianxi Zhang, Jianbang Dai, Sheng Chen, Guozheng Xu & Xiang Gao

Authors
  1. Jianxi Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jianbang Dai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sheng Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Guozheng Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xiang Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sheng Chen .

Rights and permissions

Reprints and Permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Zhang, J., Dai, J., Chen, S., Xu, G., Gao, X. (2019). Design of Finger Exoskeleton Rehabilitation Robot Using the Flexible Joint and the MYO Armband. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11745. Springer, Cham. https://doi.org/10.1007/978-3-030-27529-7_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-27529-7_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27528-0

  • Online ISBN: 978-3-030-27529-7

  • eBook Packages: Computer ScienceComputer Science (R0)