EEG Transient Event Detection and Classification Using Association Rules.

In this paper, a methodology for the automated detection and classification of transient events in electroencephalographic (EEG) recordings is presented. It is based on association rule mining and classifies transient events into four categories: epileptic spikes, muscle activity, eye blinking activ...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Τόπος έκδοσης:	IEEE Transactions on information technology in biomedicine 10, 3 (2006).
Κύριος συγγραφέας:	Exarchos, T.P
Μορφή:	Άρθρο
Γλώσσα:	English
Θέματα:	EEG classification. EEG transient event detection. Association rule mining. Electroencephalographic recording. Epileptic spikes. Eye blinking activity. Feature discretization. Feature extraction. Muscle activity. Transient event classification. Transient events clustering.