Data augmentation strategies for EEG-based motor imagery decoding

Data augmentation strategies for EEG-based motor imagery decoding

The wide use of motor imagery as a paradigm for brain-computer interfacing (BCI) points to its characteristic ability to generate discriminatory signals for communication and control. In recent times, deep learning techniques have increasingly been explored, in motor imagery decoding. While deep lea...

Full description

Bibliographic Details
Main Authors: Olawunmi George, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Heliyon
Subjects:
BCI
Data augmentation
Deep learning
EEG
Motor imagery
VAE
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022015286

Internet

http://www.sciencedirect.com/science/article/pii/S2405844022015286

Similar Items