The feature analysis of epileptic EEG is very significant in diagnosis of epilepsy. This paper
introduces two nonlinear features derived from fractal geometry for epileptic EEG analysis …

In this study, we have investigated whether fractal dimension is a useful non linear feature
for distinguishing electroencephalogram (EEG) of cases with encephalopathy from that of …

Automatic seizure detection technology is of great significance for long-term
electroencephalogram (EEG) monitoring of epilepsy patients. The aim of this work is to …

Epilepsy is a neurological disorder which may occur in every human being. The existence of
a seizure showed as the characteristic of this disorder. International League Against …

In this work, we evaluated the differences between epileptic electroencephalogram (EEG)
and interictal EEG by computing some non-linear features. Correlation dimension (CD) and …

Epilepsy is a common neurological disease caused by the hypersynchronous discharge of
brain nerve cells. The scalp or intracranial Electroencephalogram (EEG) signals from the …

In this study, we have reinvestigated the chaotic features and sub-band energies of EEG and
its ability for aiding neurologists in detecting epileptic seizures. The study was done on the …

Seizures are a common symptom of this neurological condition, which is caused by the
discharge of brain nerve cells at an excessively fast rate. Chaos, nonlinearity, and other …

The identification of seizure activities in non-stationary electroencephalography (EEG) is a
challenging task. The seizure detection by human inspection of EEG signals is prone to …

Epilepsy, a neurological disorder, is characterized by the recurrence of seizures.
Electroencephalogram (EEG) signals, which are used to detect the presence of seizures, are …