Epilepsy Identification using EEG signal monitoring

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Ganesh Birajadar, et. al.

Abstract

Electroencephalogram (EEG) is nothing but measuring electric activity of brain. EEG is non-stationary signal. EEG characterizes human behavior. There are many brain abnormalities that can be identified and treated using EEG behavior analysis. As per researchers study Epilepsy is commonly happening disorder that is getting spread over the time. It is nothing but sudden stroke in brain where patient suffers from unusual activities seizures. Sometimes symptoms are such severe that ignorance leads to death. So it is important to identify its earlier symptoms and treat it in time so as to avoid risk. EEG signals are used for getting features in time as well as frequency domain. These features are further analyzed and classified to identify EEG abnormality.


 

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How to Cite
et. al., G. B. . (2021). Epilepsy Identification using EEG signal monitoring. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(2), 2366–2371. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/2022
Section
Research Articles