A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification

Automatic high-level feature extraction has become a possibility with the advancement of deep learning, and it has been used to optimize efficiency. Recently, classification methods for Convolutional Neural Network (CNN)-based electroencephalography (EEG) motor imagery have been proposed, and have a...

Full description

Bibliographic Details
Main Authors: Ghadir Ali Altuwaijri, Ghulam Muhammad
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Biosensors
Subjects:
Online Access:https://www.mdpi.com/2079-6374/12/1/22