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

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.

Original languageAmerican English
Title of host publicationBiosystems and Biorobotics
PublisherSpringer International Publishing
Pages956-960
Number of pages5
DOIs
StatePublished - 2019

Publication series

NameBiosystems and Biorobotics
Volume21
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

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