Open AccessHurst Exponent and Tsallis Entropy Markers for Epileptic Detection from Children
Author(s) -
Sumai Hamad Jaafer
Publication year - 2021
Publication title -
al-khwarizmi engineering journal/al-khwarizmi engineering journal
Language(s) - English
Resource type - Journals
eISSN - 2312-0789
pISSN - 1818-1171
DOI - 10.22153/kej.2021.11.001
Subject(s) - electroencephalography , epilepsy , tsallis entropy , hurst exponent , biomarker , psychology , audiology , medicine , neuroscience , artificial intelligence , pattern recognition (psychology) , mathematics , computer science , statistics , biology , biochemistry
The aim of the present study was to distinguish between healthy children and those with epilepsy by electroencephalography (EEG). Two biomarkers including Hurst exponents (H) and Tsallis entropy (TE) were used to investigate the background activity of EEG of 10 healthy children and 10 with epilepsy. EEG artifacts were removed using Savitzky-Golay (SG) filter. As it hypothesize, there was a significant changes in irregularity and complexity in epileptic EEG in comparison with healthy control subjects using t-test (p< 0.05). The increasing in complexity changes were observed in H and TE results of epileptic subjects make them suggested EEG biomarker associated with epilepsy and a reliable tool for detection and identification of this disease in children. Generally, this study aims to provide an evident of a reliable biomarker to detect epilepsy in children to give them an additional chance to live a high quality life.