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Recent Functional Near Infrared Spectroscopy Based Brain Computer Interface Systems: Developments, Applications and Challenges

机译:基于近期功能近红外光谱的脑计算机接口系统:发展,应用和挑战

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摘要

Functional Near Infrared Spectroscopy (fNIRS) based Brain Computer Interface (BCI) systems have grown in popularity in the last years, and has shown itself as a useful tool in developing portable and convenient BCI systems. The purpose of this review paper is to highlight the recent developments, applications, and challenges that research groups have achieved in the field of fNIRS-BCI. We will show how fNIRS can be paired with another modality (i.e. EEG, fTCD, etc.) to drastically improve classification accuracy. From there, we will discuss the recent achievements in classification techniques researchers have had with fNIRS or a combined fNIRS modality. Finally, we will look at how fNIRS-BCI systems are used to enhance human-robot interactions and assistive technologies. Throughout our review paper, we will note challenges groups have had with their studies, as to provide a framework for future research topics for the fNIRS-BCI community.
机译:在最近几年中,基于功能近红外光谱(fNIRS)的脑计算机接口(BCI)系统变得越来越流行,并已显示出自己是开发便携式和便捷BCI系统的有用工具。本文的目的是强调研究小组在fNIRS-BCI领域所取得的最新进展,应用和挑战。我们将展示如何将fNIRS与另一种模式(即EEG,fTCD等)配对以显着提高分类准确性。从那里,我们将讨论研究人员在fNIRS或fNIRS组合方法方面的分类技术方面的最新成就。最后,我们将研究如何使用fNIRS-BCI系统来增强人机交互和辅助技术。在整个审查文件中,我们将注意到各小组在研究过程中遇到的挑战,从而为fNIRS-BCI社区提供了未来研究主题的框架。

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