Identification of Real and Imaginary Movements in EEG Using Machine Learning Models-Reference-Cited by-同舟云学术

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Identification of Real and Imaginary Movements in EEG Using Machine Learning Models

Published:2019-05-11 Issue: Volume: Page:469-474
ISSN:1680-0737
Container-title:IFMBE Proceedings
language:
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Author:

Moreira Joana,Moreira Mariana,Pombo Nuno,Silva Bruno M. C.,Garcia Nuno M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-17971-7_70

Reference18 articles.

1. Tong, S.: Quantitative EEG Analysis Methods and Applications. Artech House (2009)

2. Ullsperger, M., Debener, S.: Simultaneous EEG and fMRI: Recording, Analysis, and Application. Oxford University Press (2010)

3. Dvey-Aharon, Z., Fogelson, N., Peled, A., Intrator, N.: Schizophrenia detection and classification by advanced analysis of EEG recordings using a single electrode approach. PLoS One 10, 1–12 (2015). https://doi.org/10.1371/journal.pone.0123033

4. He, B., Gao, S., Yuan, H., Wolpaw, J.R.: Brain–computer interfaces. In: He, B. (ed.) Neural Engineering. Springer, Boston, MA (2013). https://doi.org/10.1007/978-1-4614-5227-0_2

5. Vidaurre, C., Blankertz, B.: Towards a cure for BCI illiteracy. Brain Topogr. 23, 194–198 (2010). https://doi.org/10.1007/s10548-009-0121-6

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