Deep Learning-Based Approach for Classification Of Mental Tasks From Electroencephalogram Signals
نویسندگان
1 Department of Psychology, İstanbul Gedik University, İstanbul, Turkey.
2 Kütahya Dumlupinar University, Faculty of Engineering Dept. of Electrical Electronics Eng., Kütahya, Turkey.
3 Kütahya Dumlupinar University, Faculty of Engineering Dept. of Electrical Electronics Eng., Kütahya, Turkey.
4 Kütahya Health Sciences University, Faculty of Medicine, Dept. of Neurology, Kütahya, Turkey
doi
10.32592/ajnpp.2023.10.1.102چکیده
Background and Objective: Electroencephalography (EEG) analysis is an important tool for neuroscience, brain-computer interface studies, and biomedical studies. The primary purpose of Brain-Computer Interface (BCI) studies is to establish communication between disabled individuals, other individuals, and machines with brain signals. Interpreting and classifying the brain's response during different cognitive tasks ...
