Discerning nonstationarity from nonlinearity in seizure-free and preseizure EEG recordings from epilepsy patients

A number of recent studies indicate that nonlinear electroencephalogram (EEG) analyses allow one to define a state predictive of an impending epileptic seizure. In this paper, we combine a method for detecting nonlinear determinism with a novel test for stationarity to characterize EEG recordings fr...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2003-05, Vol.50 (5), p.634-639
Main Authors: Rieke, C., Mormann, F., Andrzejak, R.G., Kreuz, T., David, P., Elger, C.E., Lehnertz, K.
Format: Article
Language:English
Subjects:
Diseases
Disk recording
Electroencephalography
Electroencephalography - methods
Epilepsies, Partial - classification
Epilepsies, Partial - diagnosis
Epilepsies, Partial - physiopathology
Epilepsy
Humans
Neurons
Nonlinear Dynamics
Nuclear physics
Phase detection
Reproducibility of Results
Retrospective Studies
Seizures - classification
Seizures - diagnosis
Seizures - physiopathology
Sensitivity and Specificity
Stochastic Processes
Testing
Time measurement
Time series analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A number of recent studies indicate that nonlinear electroencephalogram (EEG) analyses allow one to define a state predictive of an impending epileptic seizure. In this paper, we combine a method for detecting nonlinear determinism with a novel test for stationarity to characterize EEG recordings from both the seizure-free interval and the preseizure phase. We discuss differences between these periods, particularly an increased occurrence of stationary, nonlinear segments prior to seizures. These differences seem most prominent for recording sites within the seizure-generating area and for EEG segments less than one minute's length.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2003.810684