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Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring

Journal of Neuroscience Methods, no. 1 (2008): 82-90

引用345|浏览15
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Machine learning methods are an excellent choice for compensating the high variability in EEG when analyzing single-trial data in real-time. This paper briefly reviews preprocessing and classification techniques for efficient EEG-based brain–computer interfacing (BCI) and mental state monitoring applications. More specifically, this paper...更多

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