Multi-objective genetic algorithm as channel selection method for P300 and motor imagery data set-Reference-Cited by-同舟云学术

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Multi-objective genetic algorithm as channel selection method for P300 and motor imagery data set

Published:2015-08 Issue: Volume:161 Page:120-131
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Kee Chea-Yau,Ponnambalam S.G.,Loo Chu-Kiong

Funder

Monash University Malaysia and in part by University of Malaya

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference39 articles.

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2. A hybrid brain–computer interface to control the direction and speed of a simulated or real wheelchair;Long;IEEE Trans. Neural Syst. Rehabil. Eng.,2012

3. Consumer neuroscience: assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking;Khushaba;Expert Syst. Appl.,2013

4. Brain–computer interfaces, a review. Sensors;Nicolas-Alonso,2012

5. 10/20, 10/10, and 10/5 systems revisited: their validity as relative head-surface-based positioning systems;Jurcak;NeuroImage,2007

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