Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10320576 | Artificial Intelligence in Medicine | 2013 | 10 Pages |
Abstract
This proof-of-concept study has demonstrated that with the support of hybrid FES systems consisting of FES and a semiactive orthosis, restoring hand, finger and elbow function is possible in a tetraplegic end-user. Remarkably, even after one year of training and 415 MI-BCI runs, the end user's average BCI performance remained at about 70%. This supports the view that in high-level tetraplegic subjects, an initially moderate BCI performance cannot be improved by extensive training. However, this aspect has to be validated in future studies with a larger population.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Martin Rohm, Matthias Schneiders, Constantin Müller, Alex Kreilinger, Vera Kaiser, Gernot R. Müller-Putz, Rüdiger Rupp,