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

E. Pirondini*, C. Pierella, N. Kinany, M. Coscia, J. Miehlbradt, C. Magnin, P. Nicolo, A. Guggisberg, S. Micera, L. Deouell, D. Van De Ville

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations


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.

Original languageAmerican English
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Number of pages5
StatePublished - 2019

Publication series

NameBiosystems and Biorobotics
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.


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