Research Progress of ElectroEncephaloGraphy-Near-InfRared Spectroscopy Combined Analysis in Brain-Computer Interface

被引:0
|
作者
Zhang L. [1 ]
Zhou H. [1 ]
Wang D. [1 ]
Meng J. [1 ,2 ]
Xu M. [1 ,2 ]
Ming D. [1 ,2 ]
机构
[1] Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin
[2] Precision Instruments & Optoelectronics Engineering, Tianjin University, Tianjin
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Brain-Computer Interface (BCI); ElectroEncephaloGraphy (EEG); Near-InfRared Spectroscopy (NIRS); Signal process;
D O I
10.11999/JEIT230257
中图分类号
学科分类号
摘要
Brain-Computer Interface (BCI) can convert the brain activity related to the subject's intention into external device control instructions, which have high application potential in treating neurological diseases, motor rehabilitation, and other aspects. Considering that the materialization of BCI needs to obtain meaningful signals from the human brain, ElectroEncephaloGraphy (EEG) and Near-InfRared Spectroscopy (NIRS) has become important signal acquisition methods for BCI because they are non-invasive, convenient to wear, and relatively cheap. EEG reflects neural electrical activity and is widely applied in BCI systems with high real-time response requirements; NIRS mainly reflects the level of hemodynamics and is mainly utilized in research with precise localization of active brain regions, such as identifying neurophysiological status. Compared with the single-mode BCI system, the BCI system based on EEG-NIRS combined analysis has attracted interest and research in physiological state detection, motor imagination, etc., because of its richer signal characteristics. This review begins with the application of EEG-NIRS combined data analysis in BCI, summarizes the current development on the data and feature fusion level, and looks forward to the research prospects of EEG-NIRS signal processing methods. © 2024 Science Press. All rights reserved.
引用
收藏
页码:790 / 797
页数:7
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