Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach

Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach

The technology of the brain-computer interface (BCI) employs electroencephalogram (EEG) signals to establish direct interaction between the human body and its surroundings with promising applications in medical rehabilitative services and cognitive science. Deep learning approaches, particularly the...

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Bibliographic Details
Main Authors: Jamal F. Hwaidi, Thomas M. Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Electroencephalography
deep autoencoder
convolutional neural network
variational autoencoder
motor imagery
Online Access:https://ieeexplore.ieee.org/document/9766103/

Internet

https://ieeexplore.ieee.org/document/9766103/

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