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On the Potential of EEG Biomarkers to Inform Robot-Assisted Rehabilitation in Stroke Patients

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Converging Clinical and Engineering Research on Neurorehabilitation III (ICNR 2018)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 21))

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Abstract

Stroke is a devastating neurological condition, often causing severe functional and cognitive deficits, sharply diminishing the patient’s quality of life. Among others, robot-assisted rehabilitation has been widely proposed to enhance the rehabilitation outcome. However, clinical scores and robotic parameters often used to inform rehabilitative-decision process are unfit to fully describe the neural reorganization that occur after a brain insult. The lack of reliable, simple, and sensitive neural biomarkers has potentially limited the clinical translation of these advanced rehabilitative technologies. Here, we show that EEG-topographic measures can be extracted as robust and sensitive biomarkers of stroke recovery to inform robotic therapies.

This research was supported by the Wyss Center for Bio- and Neuroengineering.

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Author information

Authors and Affiliations

  1. Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland

    E. Pirondini, N. Kinany & D. Van De Ville

  2. Institute of Bioengineering/Center for Neuroprosthetics, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland

    E. Pirondini, N. Kinany & D. Van De Ville

  3. Bertarelli Foundation Chair in Translational Neuroengineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland

    C. Pierella, N. Kinany, J. Miehlbradt & S. Micera

  4. Wyss Center for Bio- and Neuroengineering, Geneva, Switzerland

    M. Coscia

  5. Division of Neurorehabilitation, University Hospital Geneva, Geneva, Switzerland

    C. Magnin, P. Nicolo & A. Guggisberg

  6. Laboratory of Cognitive Neurorehabilitation, University of Geneva, Geneva, Switzerland

    P. Nicolo & A. Guggisberg

  7. BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy

    S. Micera

  8. Department of Psychology, Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem, Israel

    L. Deouell

Authors
  1. E. Pirondini
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  2. C. Pierella
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  3. N. Kinany
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  4. M. Coscia
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  5. J. Miehlbradt
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  6. C. Magnin
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  7. P. Nicolo
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  8. A. Guggisberg
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  9. S. Micera
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  10. L. Deouell
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  11. D. Van De Ville
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Corresponding author

Correspondence to E. Pirondini .

Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Lorenzo Masia

  2. Scuola Superiore Sant’Anna, Translational Neural Engineering Area, The BioRobotics Institute, Pisa, Italy

    Silvestro Micera

  3. Department of Biomedical Engineering, University of Houston, Cullen College of Engineering, Houston, TX, USA

    Metin Akay

  4. Spanish National Research Council (CSIC), Cajal Institute, Madrid, Spain

    José L. Pons

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Pirondini, E. et al. (2019). On the Potential of EEG Biomarkers to Inform Robot-Assisted Rehabilitation in Stroke Patients. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_192

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  • DOI: https://doi.org/10.1007/978-3-030-01845-0_192

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01844-3

  • Online ISBN: 978-3-030-01845-0

  • eBook Packages: EngineeringEngineering (R0)

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