Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar

Christoph Guger, José del R. Millán, Donatella Mattia, Junichi Ushiba, Surjo R. Soekadar, Vivek Prabhakaran, Natalie Mrachacz-Kersting, Kyousuke Kamada, Brendan Z. Allison

研究成果: Article査読

4 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)41-57
ページ数17
ジャーナルBrain-Computer Interfaces
5
2-3
DOI
出版ステータスPublished - 2018 7 3

ASJC Scopus subject areas

  • 生体医工学
  • 人間とコンピュータの相互作用
  • 行動神経科学
  • 電子工学および電気工学

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