State-of-the-Art on Brain-Computer Interface Technology

被引:35
|
作者
Peksa, Janis [1 ,2 ]
Mamchur, Dmytro [1 ,3 ]
机构
[1] Turiba Univ, Dept Informat Technol, Graudu St 68, LV-1058 Riga, Latvia
[2] Riga Tech Univ, Inst Informat Technol, Kalku St 1, LV-1658 Riga, Latvia
[3] Kremenchuk Mykhailo Ostrohradskyi Natl Univ, Comp Engn & Elect Dept, Pershotravneva 20, UA-39600 Kremenchuk, Ukraine
关键词
brain-computer interface; EEG; artificial intelligence; classification; signal processing; HIDDEN MARKOV-MODELS; TRAINING-PROGRAM; EEG; ARTIFACTS; ATTENTION; CLASSIFICATION; NETWORKS; SIGNALS; GAMES;
D O I
10.3390/s23136001
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper provides a comprehensive overview of the state-of-the-art in brain-computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and most widely used platforms. The paper then examines the various components of a BCI system, such as hardware, software, and signal processing algorithms. Finally, it looks at current trends in research related to BCI use for medical, educational, and other purposes, as well as potential future applications of this technology. The paper concludes by highlighting some key challenges that still need to be addressed before widespread adoption can occur. By presenting an up-to-date assessment of the state-of-the-art in BCI technology, this paper will provide valuable insight into where this field is heading in terms of progress and innovation.
引用
收藏
页数:28
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