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A novel measure for analysis of multivariate signals in the time-frequency-space domain, the normalized Gabor entropy (NGE), is introduced and applied to multichannel intracranial EEG (iEEG) recordings hours prior to seizures onset in two patients with focal epilepsy. NGE profiles showed a statistically significant progressive decrease of NGE values at epileptogenic focus-related channels as time...
It is well known that epilepsy has a profound effect on the autonomic nervous system, especially on the autonomic control of heart rate and respiration. This effect has been widely studied during seizure activity, but less attention has been given to interictal (i.e. seizure-free) activity. The studies that have been done on the latter, showed that heart rate and respiration can be affected individually,...
We describe a novel algorithm for the prediction of epileptic seizures using scalp EEG. The method is based on the analysis of the positive zero-crossing interval series of the EEG signal and its first and second derivatives as a measure of brain dynamics. In a moving-window analysis, we estimated the probability density of these intervals and computed the differential entropy. The resultant entropy...
Transfer entropy (TE) is a recently proposed measure of the information flow between coupled linear or nonlinear systems. In this study, we suggest improvements in the selection of parameters for the estimation of TE that significantly enhance its accuracy and robustness in identifying the direction and the level of information flow between observed data series generated by coupled complex systems...
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