Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar. Issue 2 (3rd July 2018)

• Record Type: Journal Article
• Authors: Guger, Christoph; Millán, José del R.; Mattia, Donatella; Ushiba, Junichi; Soekadar, Surjo R.; Prabhakaran, Vivek; Mrachacz-Kersting, Natalie; Kamada, Kyousuke; Allison, Brendan Z.
• Is Part Of: Brain-computer interfaces. Volume 5:Issue 2/3(2018)
• Page Start: 41
• Page End: 57
• Publication Date: 2018-07-03
• Subjects: stroke rehabilitation -- motor imagery -- functional electrical stimulation -- event-related desynchronization; Brain-computer interfaces -- Periodicals; Neurology -- Periodicals; 616.800285
• DOI: 10.1080/2326263X.2018.1493073
• Languages: English
• ISSNs: 2326-263X

Abstract

ABSTRACT: Brain-computer interfaces (BCIs) based on motor imagery have been gaining attention as tools to facilitate recovery from movement disorders resulting from stroke or other causes. These BCIs can detect imagined movements that are typically required within conventional rehabilitation therapy. This information about the timing, intensity, and location of imagined movements can help assess compliance and control feedback mechanisms such as functional electrical stimulation (FES) and virtual avatars. Here, we review work from eight groups that each presented recent results with BCI-based rehabilitation at a workshop during the 6th International Brain-Computer Interface Meeting. We also present major directions and challenges for future research.