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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...
Temporal characteristics of the EEG have been extensively studied for their relationship to both sleep and epilepsy. In this work we introduce a computational algorithm that quantifies temporal variability of the EEG signal based on the local minima and the local maxima of the signal. The proposed computational algorithm is applied to examine the temporal variability of an ECoG signal obtained from...
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