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Final Results of Multi-center Randomized Controlled Trials of BCI-Controlled Hand Exoskeleton Complex Assisting Post-stroke Motor Function Recovery

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Brain-Computer Interface Research

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

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Abstract

The project is aimed at investigating efficacy of a BCI-controlled palm exoskeleton as a tool for motor function recovery in post-stroke patients. The idea of using the system is grounded on vast amount of data supported by physiologic literature and our own findings in healthy subjects, suggesting that kinesthetic motor imagery (MI) requires activation of the brain areas involved in motion planning, execution and control. Thus, the common idea of using a MI-based BCI for neurorehabilitation is to reinforce motor imagery of intention to move with visual, proprioceptive and\or tactile feedback. Results of a four-year multi-center randomized controlled study of post-stroke motor rehabilitation procedure with BCI-controlled hand exoskeleton complex are presented. The study has the largest number of participants so far. Statistical analysis of different clinical scales used to assess motor function recovery show that incorporating the BCI+exoskeleton procedure into rehabilitation significantly improves its outcome. The analysis also revealed non-monotonical dependency of motor function recovery rate on initial motor and sensory function status, as well as on age, and BCI control accuracy. Hopefully, the reported data combined with the results obtained by other groups in the world, would provide solid evidence supporting inclusion of the BCI-based systems into rehabilitation practice.

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Acknowledgments

The study was supported by Russian Ministry of Education and Science, grant RFMEFI60519X0184.

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Authors and Affiliations

  1. Pirogov Russian National Research Medical University, Moscow, Russia

    Alexander Frolov, Elena Biryukova, Pavel Bobrov, Dmirty Bobrov, Alexander Lekin, Galina Ivanova & Yulia Bushkova

  2. Institute of Higher Nervous Activity, Moscow, Russia

    Alexander Frolov, Elena Biryukova & Pavel Bobrov

  3. Research Centre of Neurology, Moscow, Russia

    Olesya Mokienko & Roman Lyukmanov

  4. Vladimirsky Moscow Regional Research Clinical Institute, Moscow, Russia

    Sergey Kotov & Anna Kondur

Authors
  1. Alexander Frolov
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  2. Elena Biryukova
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  3. Pavel Bobrov
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  4. Dmirty Bobrov
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  5. Alexander Lekin
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  6. Olesya Mokienko
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  7. Roman Lyukmanov
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  8. Sergey Kotov
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  9. Anna Kondur
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  10. Galina Ivanova
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  11. Yulia Bushkova
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Corresponding author

Correspondence to Pavel Bobrov .

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Editors and Affiliations

  1. g.tec medical engineering GmbH, Schiedlberg, Oberösterreich, Austria

    Christoph Guger

  2. Department of Cognitive Science, University of California San Diego, San Diego, CA, USA

    Brendan Z. Allison

  3. Brain State Decoding Lab, University of Freiburg, Freiburg, Baden-Württemberg, Germany

    Michael Tangermann

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Frolov, A. et al. (2021). Final Results of Multi-center Randomized Controlled Trials of BCI-Controlled Hand Exoskeleton Complex Assisting Post-stroke Motor Function Recovery. In: Guger, C., Allison, B.Z., Tangermann, M. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-60460-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-60460-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60459-2

  • Online ISBN: 978-3-030-60460-8

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