articleTop 1% cited
EEG signal classification using PCA, ICA, LDA and support vector machines
Expert Systems with Applications · 2010 · Vol. 37(12) · pp. 8659–8666
Abdülhamit Subaşı✉(International Burch University)Mehmet İsmail Gürsoy(Adıyaman University)
Blind Source Separation TechniquesEEG and Brain-Computer InterfacesNeural Networks and ApplicationsLinear discriminant analysisPattern recognition (psychology)Support vector machineComputer sciencePrincipal component analysisArtificial intelligenceElectroencephalographyIndependent component analysisDiscrete wavelet transformWavelet
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References
A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine
Neurocomputing · 2003 · 578 citations
Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2001 · 2,918 citations
EEG signal classification using wavelet feature extraction and a mixture of expert model
Expert Systems with Applications · 2006 · 1,149 citations
Support-Vector Networks
Machine Learning · 1995 · 32,108 citations
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