Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals-Reference-Cited by-同舟云学术

Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals

Published:2012 Issue: Volume: Page:692-699
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Zarjam Pega,Epps Julien,Chen Fang,Lovell Nigel H.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-34481-7_84.pdf

Reference22 articles.

1. Zander, O.T., Kothe, C.: Towards passive brain–computer interfaces: Applying brain–computer interface technology to human–machine systems in general. Journal of Neural Eng. 8, 1–5 (2011)

2. Dimitriadis, S.I., Laskaris, N.A., Tsirka, V., Vourkas, M., Micheloyannis, S.: What does delta band tell us about cognitive processes: A mental calculation study. Neuroscience Letters 483, 11–15 (2010)

3. Paas, F., Tuovinen, J.E., Tabbers, H., Gerven, P.W.M.V.: Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist 38, 63–71 (2003)

4. Antonenko, P., Paas, F., Grabner, R., Gog, T.V.: Using Electroencephalography to measure cognitive load. Educational Psychology Review 22, 425–438 (2010)

5. Klimesch, W.: EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews 29, 169–195 (1999)

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