Performance variation in motor imagery brain-computer interface: a brief review.

Abstract:

:Brain-computer interface (BCI) technology has attracted significant attention over recent decades, and has made remarkable progress. However, BCI still faces a critical hurdle, in that performance varies greatly across and even within subjects, an obstacle that degrades the reliability of BCI systems. Understanding the causes of these problems is important if we are to create more stable systems. In this short review, we report the most recent studies and findings on performance variation, especially in motor imagery-based BCI, which has found that low-performance groups have a less-developed brain network that is incapable of motor imagery. Further, psychological and physiological states influence performance variation within subjects. We propose a possible strategic approach to deal with this variation, which may contribute to improving the reliability of BCI. In addition, the limitations of current work and opportunities for future studies are discussed.

journal_name

J Neurosci Methods

authors

Ahn M,Jun SC

doi

10.1016/j.jneumeth.2015.01.033

subject

Has Abstract

pub_date

2015-03-30 00:00:00

pages

103-10

eissn

0165-0270

issn

1872-678X

pii

S0165-0270(15)00040-0

journal_volume

243

pub_type

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