Filter Bank Common Spatial Pattern algorithm on BCI Competition IV Datasets 2a and 2b

Filter Bank Common Spatial Pattern algorithm on BCI Competition IV Datasets 2a and 2b

The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the subject-specific frequency band. This paper presents the Filter Bank Common Spatial Pattern (FBCSP) algorithm to o...

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Bibliographic Details
Main Authors: Kai Keng eAng, Zheng Yang eChin, Chuanchu eWang, Cuntai eGuan, Haihong eZhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-03-01
Series:Frontiers in Neuroscience
Subjects:
Brain-computer interface
mutual information
Bayesian classification
Electroencephalogram
Feature Selection
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2012.00039/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2012.00039/full

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