Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 12, Issue 2


Published
on

April 5, 2021


Pages

2366-2371


DOI

Article

Epilepsy Identification using EEG signal monitoring


Authors

Ganesh Birajadara Affiliation:
Research Scholar, Electronics & Instrumentation Engineering, P.D.A.C.E., Kalaburagi, VTU, India
and Channappa Bhyrib Affiliation:
Research Guide, Electronics & Instrumentation Engineering, P.D.A.C.E., Kalaburagi, VTU, India


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.


Keywords

EEG, Epilepsy, non-stationary, Abnormality, features


Citation

Birajadara, G. & Bhyrib, C. (2021). Epilepsy identification using EEG signal monitoring. Turkish Journal of Computer and Mathematics Education, 12(2), 2366–2371.

Published by: Engineering Journals

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