Subject-oriented training for motor imagery brain-computer interfaces

Annu Int Conf IEEE Eng Med Biol Soc. 2014:2014:1259-62. doi: 10.1109/EMBC.2014.6943826.

Abstract

Successful operation of motor imagery (MI)-based brain-computer interfaces (BCI) requires mutual adaptation between the human subject and the BCI. Traditional training methods, as well as more recent ones based on co-adaptation, have mainly focused on the machine-learning aspects of BCI training. This work presents a novel co-adaptive training protocol shifting the focus on subject-related performances and the optimal accommodation of the interactions between the two learning agents of the BCI loop. Preliminary results with 8 able-bodied individuals demonstrate that the proposed method has been able to bring 3 naive users into control of a MI BCI within a few runs and to improve the BCI performances of 3 experienced BCI users by an average of 0.36 bits/sec.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Algorithms
  • Brain-Computer Interfaces*
  • Female
  • Humans
  • Imagery, Psychotherapy*
  • Male
  • Motor Activity*