Detection of epileptiform activity in EEG signals based on time-frequency and nonlinear analysis

Detection of epileptiform activity in EEG signals based on time-frequency and nonlinear analysis

We present a new technique for detection of epileptiform activity in EEG signals. After preprocessing of EEG signals we extract representative features in time, frequency and time-frequency domain as well as using nonlinear analysis. The features are extracted in a few frequency sub-bands of clinica...

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Bibliographic Details
Main Authors: Dragoljub eGajic, Jovan eGligorijevic, Zeljko eDjurovic, Stefano eDi Gennaro, Ivana eSavic-Gajic
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-03-01
Series:Frontiers in Computational Neuroscience
Subjects:
Epileptiform activity
NonLinear Analysis
Seizure detection
Quadratic classifiers
Scatter matrices
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00038/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00038/full

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