Epilepsy is a very common neurological disorder. Electroencephalogram (EEG) is the major diagnostic tool used for analyzing the human epileptic seizure activity and there is a strong need of an efficient automatic seizure detection using it to ease the diagnosis. This work aims at an automatic system for diagnosis of epilepsy. Here we extract some features like fractal dimensions, sample entrop...

Invasive electroencephalograph (EEG) recordings of ten patients suffering from focal epilepsy were analyzed using the method of renormalized entropy. Introduced as a complexity measure for the different regimes of a dynamical system, the feature was tested here for its spatio-temporal behavior in epileptic seizures. In all patients a decrease of renormalized entropy within the ictal phase of se...

Abstract Epilepsy is a common neurological disease caused by synchronous firing of hyperexcitable neurons. Currently, anti-epileptic drugs remain the main choice to control seizure, but 30% patients are resistant drugs, which calls for more research on new promising targets. Neuroinflammation closely associated with development epilepsy. As an important inflammatory factor, high mobility group ...

Epileptic seizures can develop from the synchronous and paroxysmal activation of a group of neurons. There is high prevalence of a heterogeneous variety of epileptic syndromes in the population. A great number of people suffer from an epileptic seizure at least once in their lives, are worried, go to the emergency room, and seek for medical advice. It is therefore important for every physician ...