Skip to main content
Book cover

Brain–Computer Interface Research pp 75–85Cite as

Neuromotor Recovery Based on BCI, FES, Virtual Reality and Augmented Feedback for Upper Limbs

  • 373 Accesses

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

Recently investigated rehabilitative practices involving Brain-Computer Interface (BCI) and Functional Electrical Stimulation (FES) techniques provided long-lasting benefits after short-term recovering programs. The prevalence of this revolutionary approach received a boost from virtual reality and augmented reality, which contribute to the brain neuroplasticity improvement and can be used in neurorehabilitation and treatment of motor/mental disorders. This work presents a therapy system for stroke rehabilitation based on these techniques. The novelty of the proposed system consists of including an eye tracking device that detects the patient’s vigilance during exercises and warns if patient is not focused on the items of interest from the virtual environment. This additional feature improves the level of user involvement and makes him/her conscious of the rehabilitation importance and pace. Moreover, the system architecture is reconfigurable, and the functionalities are specified by software. The laboratory tests have validated the system from a technical point of view, and preliminary results from the clinical tests have highlighted the system’s quick accommodation to the proposed therapy and fast progress for each user.

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

Chapter
GBP   19.95
Price includes VAT (United Kingdom)
  • DOI: 10.1007/978-3-030-49583-1_8
  • Chapter length: 11 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   39.99
Price includes VAT (United Kingdom)
  • ISBN: 978-3-030-49583-1
  • 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   49.99
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. ENIGMA-Stroke Recovery. http://enigma.ini.usc.edu/ongoing/enigma-stroke-recovery/. Last visit October 2018

  2. Johns Hopkins Institute—Strock Centers. www.hopkinsmedicine.org/neurology_neurosurgery/centers_clinics/cerebrovascular/stroke/. Last visit December 2018

  3. StrokeBack Project. http://www.strokeback.eu/project.html. Last visit December 2018

  4. NIHR—A practical, yet flexible functional electrical stimulation system for upper limb functional rehabilitation, Centres for Health Sciences Research, 2014–2017. https://www.salford.ac.uk/research/health-sciences/research-groups/human-movement-technologies/a-practical,-yet-flexible-functional-electrical-stimulation-system-for-upper-limb-functional-rehabilitation. Last visit December 2018

  5. RETRAINER. http://www.retrainer.eu/start/. Last visit December 2018

  6. C.M. McCrimmon, C.E. King, P.T. Wang, S.C. Cramer, Z. Nenadic, A.H. Do, Brain-controlled functional electrical stimulation for lower-limb motor recovery in stroke survivors, in 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1247–1250, 2014

    Google Scholar 

  7. M. Sun, C. Smith, D. Howard, L. Kenney, H. Luckie, K. Waring, P. Taylor, E. Merson, S. Finn, FES-UPP: a flexible functional electrical stimulation system to support upper limb functional activity practice. Front Neurosci. 12, 449 (2018)

    CrossRef  Google Scholar 

  8. O. Ferche, A. Moldoveanu, F. Moldoveanu, The TRAVEE system for neuromotor recovery: Architecture and implementation, in 2017 E-Health and Bioengineering Conference (EHB), Sinaia, 2017, pp. 575–578. https://doi.org/10.1109/EHB.2017.7995489

    Google Scholar 

  9. S. Caraiman, A. Stan, N. Botezatu, P. Herghelegiu, R.G. Lupu, A. Moldoveanu, Architectural design of a real-time augmented feedback system for neuromotor rehabilitation, in 2015 20th International Conference on Control Systems and Computer Science, Bucharest, 2015, pp. 850–855. https://doi.org/10.1109/cscs.2015.106

  10. R.G. Lupu et al., Virtual reality system for stroke recovery for upper limbs using ArUco markers, in 2017 21st International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, 2017, pp. 548–552, https://doi.org/10.1109/icstcc.2017.8107092

  11. R.G. Lupu, N. Botezatu, F. Ungureanu, D. Ignat, A. Moldoveanu, Virtual reality based stroke recovery for upper limbs using Leap Motion, in 2016 20th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, 2016, pp. 295–299. https://doi.org/10.1109/icstcc.2016.7790681

  12. R.G. Lupu, D.C. Irimia, F. Ungureanu, M.S. Poboroniuc, A. Moldoveanu, BCI and FES based therapy for stroke rehabilitation using VR facilities. Wireless Commun. Mob. Comput. (2018)

    Google Scholar 

  13. D.C. Irimia, M.S. Poboroniuc, R. Ortner, B.Z. Allison, C. Guger, Preliminary results of testing a BCI-controlled FES system for post-stroke rehabilitation, in Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, September 18th–22nd, Graz, Austria, 2017

    Google Scholar 

  14. D.C. Irimia, R. Ortner, M.S. Poboroniuc, B.E. Ignat, C. Guger, High classification accuracy of a motor imagery based brain-computer interface for stroke rehabilitation training. Front. Rob. AI 5, 130 (2018)

    CrossRef  Google Scholar 

  15. S. Lemm, B. Blankertz, T. Dickhaus, K.-R. Müller, Introduction to machine learning for brain imaging. NeuroImage 56(2), 387–399 (2011)

    CrossRef  Google Scholar 

  16. J. Müller-Gerking, G. Pfurtscheller, H. Flyvbjerg, Designing optimal spatial filters for single-trial EEG classification in a movement task. Clin. Neurophysiol. 110(5), 787–798 (1999)

    CrossRef  Google Scholar 

  17. C.L. Watkins, M.J. Leathley, J.M. Gregson, A.P. Moore, T.L. Smith, A.K. Sharma, Prevalence of spasticity post stroke. Clin. Rehab. (2002). https://doi.org/10.1191/0269215502cr512oa

    CrossRef  Google Scholar 

  18. D.A. De Silva, N. Venketasubramanian, A. Jr. Roxas, L.P. Kee, Y. Lampl, Understanding Stroke—A Guide for Stroke Survivors and Their Families, 2014. http://www.moleac.com/ebook/Understanding_Stroke_-_Guide_for_Stroke_Survivors.pdf

Download references

Acknowledgements

This work was supported by the Romanian National Authority for Scientific Research (UEFISCDI), Project 1/2014 Virtual Therapist with Augmented Feedback for Neuromotor Recovery (TRAVEE).

Author information

Affiliations

  1. Faculty of Automatic Control and Computer Engineering, Computer Engineering Department, “Gheorghe Asachi” Technical University of Iasi, Dimitrie Mangeron 27, 700050, Iasi, Romania

    Robert Gabriel Lupu & Florina Ungureanu

  2. Computer Engineering Department, “Politehnica” University of Bucharest, Bucharest, Romania

    Oana Ferche & Alin Moldoveanu

Authors
  1. Robert Gabriel Lupu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Florina Ungureanu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Oana Ferche
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Alin Moldoveanu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Robert Gabriel Lupu .

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Verify currency and authenticity via CrossMark

Cite this chapter

Lupu, R.G., Ungureanu, F., Ferche, O., Moldoveanu, A. (2020). Neuromotor Recovery Based on BCI, FES, Virtual Reality and Augmented Feedback for Upper Limbs. In: Guger, C., Allison, B.Z., Miller, K. (eds) Brain–Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-49583-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-49583-1_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49582-4

  • Online ISBN: 978-3-030-49583-1

  • eBook Packages: Computer ScienceComputer Science (R0)