脑-机接口操控效果差异及其预测研究综述

Research Advancements on the Variation and Prediction of Brain Control Performance for Brain-Computer Interfaces (BCIs)

近年来,脑-机接口(BCI)技术得到广泛关注并取得显著进展。然而,脑控效果差异已成为脑机接口发展面临的重要挑战之一,即被试间差异以及被试内差异严重降低BCI系统的可靠性。为创建更稳定的系统,理解这些问题出现的原因是至关重要的,而预测大脑BCI操控效果有望解决控制表现差异问题。其中被试水平的预测能够实现对BCI盲筛选,并有望帮助消除被试间差异;而试次水平的预测有望改善用户的整体控制效果。回顾近年来预测BCI操控效果的研究,详细阐述BCI盲以及引起BCI表现差异的原因,最后就大脑BCI操控能力预测研究现状进行论述,并对其研究前景进行展望。

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.