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

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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.

Author
Murilo Coutinho Silva (University of Brasilia, Brazil), George Freitas von Borries (University of Brasilia, Brazil)
Date of publication
2014-06-22 15:48:01
Maintainer
Murilo Coutinho Silva <coutinho.stat@gmail.com>
License
GPL (>= 2)
Version
0.0

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Man pages

classifyEEG
Classifies new data
easyFeatures
Choosing Features
eegAnalysis-package
Feature selection and classification of...
FeatureEEG
Automatic Feature Selection
featureSelection
Feature Selection Algorithm
plotEEG
Plot EEG data
plotwindows
Plot statistics calculated by windows
randEEG
EEG simulation
svmEEG
Support Vector Machines

Files in this package

eegAnalysis
eegAnalysis/NAMESPACE
eegAnalysis/R
eegAnalysis/R/eegAnalysis-internal.R
eegAnalysis/R/classifyEEG.R
eegAnalysis/R/FeatureEEG.R
eegAnalysis/R/easyFeatures.R
eegAnalysis/R/plotEEG.R
eegAnalysis/R/featureSelection.R
eegAnalysis/R/svmEEG.R
eegAnalysis/R/randEEG.R
eegAnalysis/R/plotwindows.R
eegAnalysis/MD5
eegAnalysis/DESCRIPTION
eegAnalysis/man
eegAnalysis/man/featureSelection.Rd
eegAnalysis/man/plotEEG.Rd
eegAnalysis/man/classifyEEG.Rd
eegAnalysis/man/svmEEG.Rd
eegAnalysis/man/randEEG.Rd
eegAnalysis/man/plotwindows.Rd
eegAnalysis/man/easyFeatures.Rd
eegAnalysis/man/FeatureEEG.Rd
eegAnalysis/man/eegAnalysis-package.Rd