A systematic review on hybrid EEG/fNIRS in brain-computer interface

被引：80

作者：

Liu, Ziming ^{[1
]}

Shore, Jeremy ^{[1
]}

Wang, Miao ^{[3
]}

Yuan, Fengpei ^{[1
]}

Buss, Aaron ^{[2
]}

Zhao, Xiaopeng ^{[1
]}

机构：

[1] Univ Tennessee, Dept Mech Aerosp & Biomed Engn, Knoxville, TN 37996 USA

[2] Univ Tennessee, Dept Psychol, Knoxville, TN 37996 USA

[3] Miami Univ, Dept Elect & Comp Engn, Oxford, OH USA

来源：

BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2021年 / 68卷 / 68期

关键词：

Brain-computer interface; Hybrid neuroimaging; EEG; fNIRS; Systematic review; COMBINED EEG; FNIRS-EEG; HEMODYNAMIC FNIRS; NEURAL ACTIVITY; EPILEPSY; ELECTROENCEPHALOGRAPHY; PERFORMANCE; IMAGERY; FMRI;

D O I：

10.1016/j.bspc.2021.102595

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

As a relatively new field of neurology and computer science, brain computer interface (BCI) has many established and burgeoning applications across scientific disciplines. Many neural monitoring technologies have been developed for BCI studies. Combining multiple monitoring technologies provides a new approach that synthesizes the advantages and overcomes the limitations of each technology. This article presents a systematic review on the applications, limitations, and future directions for the hybridization of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) into one synchronous multimodality. This review investigated research questions on design and usability of hybrid EEG-fNIRS studies. In this article, 765 papers were included in the initial search and 128 papers were selected through the PRISMA protocol. The review results show the possibility of improving the performance of hybrid EEG-fNIRS by optimizing the feature extraction algorithms and physical designing as well as expending more possible applications in information processing related fields.

引用

页数：8

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