Seizure prediction by nonlinear EEG analysis

Attempting to increase insight into the spatio-temporal dynamics of the epileptogenic process to address one of the greatest challenges in epileptology. In the field of EEG analysis the search for the hidden information predictive of an impending seizure has a long history. The nonlinear EEG analysi...

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Bibliographic Details
Published in:IEEE engineering in medicine and biology magazine 2003-01, Vol.22 (1), p.57-63
Main Authors: Lehnertz, K., Mormann, F., Kreuz, T., Andrzejak, R.G., Rieke, C., David, P., Elger, C.E.
Format: Article
Language:English
Subjects:
Algorithms
Brain
Diseases
Drugs
Electroencephalography
Electroencephalography - methods
Epilepsy
Epilepsy - diagnosis
Humans
Medical treatment
Neuroimaging
Neurons
Nonlinear Dynamics
Psychology
Seizures - diagnosis
Signal Processing, Computer-Assisted - instrumentation
Surgery
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Summary:Attempting to increase insight into the spatio-temporal dynamics of the epileptogenic process to address one of the greatest challenges in epileptology. In the field of EEG analysis the search for the hidden information predictive of an impending seizure has a long history. The nonlinear EEG analysis techniques we have used in principle allow one to define a pre-ictal state and to characterize different temporal and spatial aspects of this state. The results obtained so far emphasize the high value of nonlinear EEG analysis techniques for the detection of a long-lasting pre-ictal state. Once given a sufficient sensitivity and specificity of seizure prediction techniques, more extensive clinical studies on a larger population of patients, either at home or in a clinical setting, can be envisaged.
ISSN:0739-5175
1937-4186
DOI:10.1109/MEMB.2003.1191451