Time–frequency distributions in the classification of epilepsy from EEG signals

► The recognition algorithm uses biologically inspired features to detect epilepsy automatically from electroencephalogram (EMG). ► The algorithm adapts the features it uses for each set of classes for greater flexibility and accuracy. ► Many experiments were run to get a statistical picture of algo...

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Veröffentlicht in:	Expert systems with applications 2012-10, Vol.39 (13), p.11413-11422
Hauptverfasser:	Musselman, Marcus, Djurdjanovic, Dragan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bilinear time–frequency distributions (TFD) Classification Decomposition Electroencephalogram (EEG) signals Epilepsy Expert systems Mathematical analysis Support vector machine (SVM) Support vector machines Trains
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