Comparison of temporal variability of epileptic ECoG signals

Temporal characteristics of the EEG have been extensively studied for their relationship to both sleep and epilepsy. In this work, a new computational algorithm for quantifying the temporal variability of signal is proposed. The proposed computational algorithm is based on local minima and local maxima. The temporal variability of ECoG data obtained from epilepsy patients corresponding to different pathological brain states, i.e., during a non-seizure period and during an epileptic seizure activity, is examined. From the computational results, it can be observed that there are significant differences of both features between epileptic ECoG data during a non-seizure period and during an epileptic seizure activity.