Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface-Reference-Cited by-同舟云学术

Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface

Published:2022-11 Issue: Volume:116 Page:105347
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Roy Arunabha M.^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference85 articles.

1. A comprehensive review of EEG-based brain–computer interface paradigms;Abiri;J. Neural Eng.,2019

2. Filter bank common spatial pattern algorithm on BCI competition IV datasets 2a and 2b;Ang;Front. Neurosci.,2012

3. Filter bank common spatial pattern (FBCSP) in brain-computer interface;Ang,2008

4. Pattern recognition of single-channel sEMG signal using PCA and ANN method to classify nine hand movements;Arozi;Symmetry,2020

5. Signal processing magazine;Blankertz;IEEE,2008

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