| Abstract: |
In the study of epileptic seizure or epileptic attack, a strategy receiving
increased attention is the use of nonlinear methods in detecting the earliest
dynamical changes preceding seizures. The methods usually consider continuous
EEG measurements from epileptic patients to predict and ultimately control
seizures. As part of the inquiry into the structure of the dynamics of the
brain activity we investigate changes amongst the EEG signals being recorded
at different locations on the scalp. Patterns emerging from the correlation
coefficients between the EEG channels seem to be disturbed with the approach
of a crisis. Results show that those patterns are often disturbed 10 to 15
minutes before the beginning of crises, helping to detect the earliest
dynamical changes preceding seizures. |