Multiclass epileptic seizure classification using time-frequency analysis of EEG signals

Seizure is a transient abnormal behavior of neurons within one or several neural networks, which limits the patients physical and mental activities. Since conventional time or frequency domain analysis is found inadequate to describe the characteristics of a non-stationary signal, such as electroen-...

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Bibliographische Detailangaben

Hauptverfasser:	Acharjee, P. P., Shahnaz, C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy ANN Cohen class kernel function EEG Electroencephalography Entropy Epileptic Seizure Feature extraction Kernel Smoothing methods Time- frequency analysis
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