EEG Transient Event Detection and Classification Using Association Rules.

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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Détails bibliographiques
Publié dans:IEEE Transactions on information technology in biomedicine 10, 3 (2006).
Auteur principal: Exarchos, T.P
Format: Article
Langue:English
Sujets:
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.