A lightweight and accurate double-branch neural network for four-class motor imagery classification

Title
A lightweight and accurate double-branch neural network for four-class motor imagery classification
Authors
Keywords
Brain-computer interfaces (BCIs), Electroencephalography (EEG), Motor imagery (MI), Deep learning, Feature fusion
Journal
Biomedical Signal Processing and Control
Volume 75, Issue -, Pages 103582
Publisher
Elsevier BV
Online
2022-03-01
DOI
10.1016/j.bspc.2022.103582

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started