Using Combination of μ,β and γ Bands in Classi.cation of EEG Signals

Introduction: In most BCI articles which aim to separate movement imaginations, µ and &beta frequency bands have been used. In this paper, the effect of presence and absence of &gamma band on performance improvement is discussed since movement imaginations affect &gamma frequency band as...

Full description

Bibliographic Details
Main Authors:	Mina Mirnaziri, Masoomeh Rahimi, Sepidehsadat Alavikakhaki, Reza Ebrahimpour
Format:	Article
Language:	English
Published:	Iran University of Medical Sciences 2013-02-01
Series:	Basic and Clinical Neuroscience
Subjects:	Brain – Computer Interface (BCI) Electroencephalogram (EEG) Common Spatial Pattern (CSP) Multi – Layer Perceptron (MLP) Linear Discriminant Analysis (LDA) Radial Basis Function (RBF).
Online Access:	http://bcn.iums.ac.ir/browse.php?a_code=A-10-1-146&slc_lang=en&sid=1

Internet

http://bcn.iums.ac.ir/browse.php?a_code=A-10-1-146&slc_lang=en&sid=1

Using Combination of μ,β and γ Bands in Classi.cation of EEG Signals

Internet

Similar Items