eegAnalysis: Tools for analysis and classification of electroencephalography (EEG) data.

Package with tools for classification of electroencephalography (EEG) data. Feature extraction techniques such as Fourier Transform and Continuous Wavelet Transform (CWT) are available. Support Vector Machines (SVM) can be used to classify the extracted features. An algorithm using Analysis of Variance (ANOVA), False Discovery Rate (FDR), and SVM is available to feature selection. Additionally, the package contains functions to plot data and features.

AuthorMurilo Coutinho Silva (University of Brasilia, Brazil), George Freitas von Borries (University of Brasilia, Brazil)
Date of publication2014-06-22 15:48:01
MaintainerMurilo Coutinho Silva <>
LicenseGPL (>= 2)

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classifyEEG Man page
easyFeatures Man page
eegAnalysis Man page
eegAnalysis-package Man page
FeatureEEG Man page
featureSelection Man page
plotEEG Man page
plot.plotwindows Man page
plotwindows Man page
print.featureEEG Man page
print.Features Man page
print.featuresSelected Man page
print.plotwindows Man page
print.RandEEG Man page
print.svmEEG Man page
randEEG Man page
summary.featureEEG Man page
summary.Features Man page
summary.featuresSelected Man page
summary.plotwindows Man page
summary.RandEEG Man page
summary.svmEEG Man page
svmEEG Man page

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