Electroencephalography Artifact Removal using Optimized Radial Basis Function Neural Networks

Electroencephalography Artifact Removal using Optimized Radial Basis Function Neural Networks

Electroencephalography (EEG) is a major clinical tool to diagnose, monitor and manage neurological disorders which is mostly affected by artifacts. Given the importance and the need for an automated method to remove artifacts, in this paper some intelligent automated methods are proposed which are c...

Full description

Saved in:
Bibliographic Details
Main Authors: Shoorangiz Shams Shamsabad Farahani, Mohammad Mahdi Arefi, Amir Hossein Zaeri
Format: Article
Language:English
Published: OICC Press 2024-02-01
Series:Majlesi Journal of Electrical Engineering
Subjects:
Artifacts
Bees Algorithm (BA)
Electroencephalography
Optimization
Radial Basis Function Neural Network (RBFNN). Wavelet Transform (WT)
Online Access:https://oiccpress.com/mjee/article/view/4901
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://oiccpress.com/mjee/article/view/4901

Similar Items