Skip to main content

Wearable Robots Improve Upper Limb Function In Stroke Patients

  • Conference paper
  • First Online:
Intelligent Robotics and Applications (ICIRA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14269))

Included in the following conference series:

  • 457 Accesses

Abstract

Wearable upper limb robots can improve motor performance of stroke patients. The Armeo Spring, a wearable upper limb robot designed by Swiss company Hocoma, has been developed specifically to strengthen the upper limbs of stroke patients and improve treatment outcomes. The purpose of this article is to introduce this novel upper limb rehabilitation robot into the training of clinical daily activities. Armeo Spring is an upper limb mechanical structure with multiple joints and degrees of freedom, equipped with force and position sensors. Based on force control algorithms and real-time data monitoring, and targeting the patient’s active control strategy, the machine structure, motor actuators, sensors, and safety protection aspects have been optimized, and a game-based human-machine interaction method is used to train patients. This article introduces the design and development of the robot, as well as clinical experimental evaluations and verifications in stroke patients. Clinical research results confirm that the wearable upper limb robot can improve upper limb function in stroke patients.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sacco, R.L., Kasner, S.E., Broderick, J.P., et al.: An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American heart association/American stroke association. Stroke 44(7), 2064–2089 (2013)

    Article  Google Scholar 

  2. Feigin, V.L., et al.: Global and regional burden of stroke during 1990–2010: fndings from the global burden of disease study 2010. Lancet 383, 245–254 (2014)

    Article  Google Scholar 

  3. Wang, W., et al.: Prevalence, Incidence, and mortality of stroke in China: results from a nationwide population-based survey of 480687 adults. Circulation 135, 759–771 (2017)

    Article  Google Scholar 

  4. Kim, A.S., Cahill, E., Cheng, N.T.: Global stroke belt: geographic variation in stroke burden worldwide. Stroke 46, 3564–3570 (2015)

    Article  Google Scholar 

  5. Sarti, C., Rastenyte, D., et al.: International trends in mortality from stroke, 1968 to 1994. Stroke 31(7),1588–1601 (2000)

    Google Scholar 

  6. Abo, M., Kakuda, W., Momosaki, R., et al.: Randomized, multicenter, comparative study of NEURO versus CIMT in poststroke patients with upper limb hemiparesis: the neuro-verify study. Int. J. Stroke 9(5), 607–612 (2014)

    Article  Google Scholar 

  7. Connell, L., Lincoln, N., Radford, K.: Somatosensory impairment after stroke: frequency of different deficits and their recovery. Clin. Rehabil. 22, 758–767 (2008)

    Article  Google Scholar 

  8. Nakayama, H., Jorgensen, H.S., Raaschou, H.O., Olsen, T.S.: Compensation in recovery of upper extremity function after stroke: the copenhagen stroke study. Arch. Phys. Med. Rehabil. 75, 852–857 (1994)

    Article  Google Scholar 

  9. Pollock, A., Farmer, S.E., Brady M.C., et al.: Interventions for improving upper limb function after stroke. Cochrane Datab. Syst. Rev. (Online), 11 (2013)

    Google Scholar 

  10. Babaiasl, M., Mahdioun, S.H., Jaryani, P., Yazdani, M.: A review of technological and clinical aspects of robot-aided rehabilitation of upper-extremity after stroke. disability and rehabilitation. Assistive Technol. 11(4), 263–280 (2016)

    Google Scholar 

  11. Chang, W.H., Kim, Y.: Robot-assisted therapy in stroke rehabilitation. Stroke 15(3), 174–181 (2013)

    Article  Google Scholar 

  12. Riener, R.: Robot-aided rehabilitation of neural function in the upper extremities. Acta Neurochir. Suppl. 97(Pt 1), 465–471 (2007)

    Google Scholar 

  13. Riener, R., Nef, T., Colombo, G.: Robot-aided neurorehabilitation of the upper extremities. Med. Bio. Eng. Comput. 43(1), 2–10 (2005)

    Google Scholar 

  14. Hogan, N., Krebs, H.I., Charnnarong, J., et al.: MIT-MANUS: a workstation for manual therapy and training. In: SPIE Proceedings: Telemanipulator Technology, vol. 1833, pp. 161−165 (1993)

    Google Scholar 

  15. Kyeong, S., Na, Y., Kim, J.: A mechatronic mirror-image motion device for symmetric upper-limb rehabilitation. Int. J. Precision Eng. Manufact. 21(1), 947−956 (2020)

    Google Scholar 

  16. Islam, M.R., Assad-Uz-Zaman, M., Brahmi, B., Bouteraa, Y., Wang, I., Rahman, M.H.: Design and development of an upper limb rehabilitative robot with dual functionality. Micromachines 12(8), 870 (2021)

    Google Scholar 

  17. Toth, A., Fazekas, G., Arz, G., Jurak, M., Horvath, M.: Passive robotic movement therapy of the spastic hemiparetic arm with REHAROB: report of the first clinical test and the follow-up system improvement. In: 9th International Conference on Rehabilitation Robotics, pp. 127–130. ICORR 2005, Chicago, IL, USA (2005)

    Google Scholar 

  18. Perry, J.C., Rosen, J.: Design of a 7 degree-of-freedom upper-limb powered exoskeleton. In: The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 805–810. BioRob 2006, Pisa, Italy (2006)

    Google Scholar 

  19. McDowd, J.M., Filion, D.L., Pohl, P.S., et al.: Attentional abilities and functional outcomes following stroke. J. Gerontol. B Psychol. Sci. 58(1), 45–53 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jing Tian .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, Y., Chen, Y., Zhuang, M., Cao, Z., Liu, J., Tian, J. (2023). Wearable Robots Improve Upper Limb Function In Stroke Patients. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14269. Springer, Singapore. https://doi.org/10.1007/978-981-99-6489-5_43

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-6489-5_43

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6488-8

  • Online ISBN: 978-981-99-6489-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics