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Published in:
2019 | OriginalPaper | Chapter
On the Potential of EEG Biomarkers to Inform Robot-Assisted Rehabilitation in Stroke Patients
Authors : E. Pirondini, C. Pierella, N. Kinany, M. Coscia, J. Miehlbradt, C. Magnin, P. Nicolo, A. Guggisberg, S. Micera, L. Deouell, D. Van De Ville
Published in: Converging Clinical and Engineering Research on Neurorehabilitation III
Publisher: Springer International Publishing
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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.