脑-机接口操控效果差异及其预测研究综述

doi:10.3969/j.issn.0258-8021.2018.06.014

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Abstract Brain-computer interface (BCI) technology has attracted significant attention over recent decades, and has made remarkable progress. However, Brain control performance variations across and even within subjects severely degrade the reliability of BCI systems, which has become one of the most important challenges in the real-life application of brain-computer interfaces (BCIs). Understanding the underlying causes is essential to improve the stability of BCI systems, which could be approached by predicting BCI performance. Reliable prediction on individual’s ability to control BCIs can distinguish BCI illiteracy and can help eliminate the performance differences among users; while reliable prediction across trials for the same subject can help improve the whole BCI performance. This paper reviewed recent studies on the prediction of BCI performance, which laid emphasis on the BCI illiteracy and the causes of the BCI performance variation. It also provided some possible directions for future studies.

Key words： brain-computer interface (BCI) illiteracy performance variation predictors

Received: 08 March 2018

PACS:

R318

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	Articles by authors
	Zheng Yufu
	Xu Minpeng
	Ming Dong

Cite this article:

Zheng Yufu,Xu Minpeng,Ming Dong. Research Advancements on the Variation and Prediction of Brain Control Performance for Brain-Computer Interfaces (BCIs)[J]. Chinese Journal of Biomedical Engineering, 2018, 37(6): 749-755.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2018.06.014 OR http://cjbme.csbme.org/EN/Y2018/V37/I6/749

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