Neutrosophic similarity score-based entropy measure for focal and nonfocal electroencephalogram signal classification
Abdulkadir Sengur*; Varun Bajaj†; Murat Karabatak‡; Erkan Tanyildizi‡ * Department of Electrical and Electronics Engineering, Technology Faculty, Firat University, Elazig, Turkey† Department of Electronics and Communication, Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India‡ Department of Software Engineering, Technology Faculty, Firat University, Elazig, Turkey
Abstract
An electroencephalogram (EEG) is a useful tool that measures the change in electrical activity of the human brain. EEGs can be used for identification of various brain disorders such as epilepsy. Partial epilepsy, ...
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