A Fusion Classification Prototypical for Eye State Recognition in Stroke Patients Using Electroencephalogram (EEG) Data

Autor: Ravindran, R. S. Ernest, B. C., Yathish Aradhya, Kumar, A. Senthil, Lakshmi, T. R. Vijaya, Sureshkumar, Sugasri, Kajamohideen, Syed Abudaheer

Publikováno v: International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 8s (2023): Advances on Machine Learning and Artificial Intelligence in Computer Technology; 499-507

The electroencephalography (EEG) signal is a crucial part of Brain-Computer Interface (BCI) technology. Simply put, the BCI is a non-muscular channel for information transfer between the brain and other devices. The primary goal of BCIs is to restore

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn21476799::42aea1b4a44c6d61470f2f98a8a4e52b
https://www.ijisae.org/index.php/IJISAE/article/view/3080