Published 2019
| Version v1
Publication
On the Potential of EEG Biomarkers to Inform Robot-Assisted Rehabilitation in Stroke Patients
Description
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.
Additional details
Identifiers
- URL
- https://hdl.handle.net/11567/1103073
- URN
- urn:oai:iris.unige.it:11567/1103073
Origin repository
- Origin repository
- UNIGE