Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees

Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees

The analysis of Electroencephalography (EEG) signals has been an effective way of eye state identification. Its significance is highlighted by studies that examined the classification of eye states using machine learning techniques. In previous studies, supervised learning techniques have been widel...

Full description

Bibliographic Details
Main Authors: Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Hossein Ahmadi, Sarminah Samad, Abdullah Alghamdi, Mesfer Alrizq, Sultan Alyami, Fatima Khan Nayer
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Heliyon
Subjects:
Electroencephalography
Human cognition state
Bagged trees
Learning vector quantization
Eye state classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023024659

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023024659

Similar Items