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 languageEnglish
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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