Mental Task Recognition by EEG Signals: A Novel Approach with ROC Analysis-Reference-Cited by-同舟云学术

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Mental Task Recognition by EEG Signals: A Novel Approach with ROC Analysis

Published:2018-07-04 Issue: Volume: Page:
ISSN:
Container-title:Human-Robot Interaction - Theory and Application
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Author:

Kuremoto Takashi,Obayashi Masanao,Mabu Shingo,Kobayashi Kunikazu

Publisher

InTech

Link

http://www.intechopen.com/download/pdf/57737

Reference17 articles.

1. Malmivuo J, Plonsey R. Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields. Oxford University Press, Oxford; 1995. http://www.bem.fi/book/

2. Lotte F, Congedo M, Lecuyer A, Lamarche F, Arnaldi B. A review of classification algorithms for EEG-based brain-computer interfaces. Journal of Neural Engineering. 2007;4:24-48

3. Cheng SY, Hsu HT. Mental Fatigue Measurement Using EEG, Risk Management Trends. In: Nota G, editor. InTech, Rijeka, Croatia; 2011. pp. 203-228

4. NakayamaK, Inagaki K. A brain computer interface based on neural network with efficient pre-processing. In: Proceedings of 2006 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2006). 2006. pp. 673-676

5. Li J, Zhang L. Regularized tensor discriminant analysis for single trial EEG classification in BCI. Pattern Recognition Letters. 2010;31:619-628

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