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 Methodsjournal_title
Journal of neuroscience methodsauthors
Ahn M,Jun SCdoi
10.1016/j.jneumeth.2015.01.033subject
Has Abstractpub_date
2015-03-30 00:00:00pages
103-10eissn
0165-0270issn
1872-678Xpii
S0165-0270(15)00040-0journal_volume
243pub_type
杂志文章,评审abstract:BACKGROUND:Supra-threshold galvanic vestibular stimulation (GVS) can be used to challenge the balance control system by disrupting vestibular inputs. The goal of this study was to propose an objective method to assess variability across subjects in the minimum safe GVS level that causes maximum balance degradation. New...
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journal_title:Journal of neuroscience methods
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journal_title:Journal of neuroscience methods
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更新日期:2014-09-30 00:00:00
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journal_title:Journal of neuroscience methods
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journal_title:Journal of neuroscience methods
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