Prediction of epileptic seizures from two-channel EEG |
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Authors: | Y Salant Prof I Gath O Henriksen |
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Institution: | (1) Department of Biomedical Engineering, Technion, Haifa, Israel;(2) The National Centre for Epilepsy, Sandvika, Norway |
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Abstract: | Multivariate spectral estimation based on parametric modelling has been applied to epileptic surface EEG in order to detect
EEG changes that occur prior to the clinical outbreak of the seizure. A better time/frequency resolution has been achieved
using residual energy ratios (Dickinson’s method). Prediction of oncoming seizures was based on detection of increased preictal
synchronisation by calculation of coherence and pole trajectories. The method has been tested on simulated EEG data and on
real EEG data from patients with primary generalised epilepsy. Prediction times of 1–6 s have been found in several seizures
from five patients. |
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Keywords: | Epileptic EEG Seizure prediction Spectral estimation |
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