Identifying factors influencing the outcome of BCI-based post stroke motor rehabilitation towards its personalization with Artificial Intelligence
Author:
Affiliation:
1. Inria Bordeaux Sud-Ouest LaBRI (CNRS - Univ. Bordeaux - Bordeaux INP),Talence,France
2. Univ. Bordeaux,Bordeaux,France
Funder
European Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9967443/9967445/09967648.pdf?arnumber=9967648
Reference47 articles.
1. Motor imagery BCI for upper limb stroke rehabilitation: An evaluation of the EEG recordings using coherence analysis
2. Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies
3. Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial
4. Easily Conducted Tests During the First Week Post-stroke Can Aid the Prediction of Arm Functioning at 6 Months
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