Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks-Reference-Cited by-同舟云学术

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Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks

Published:2024-12 Issue: Volume:180 Page:106665
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Choo Sanghyun^ORCID,Park Hoonseok,Jung Jae-Yoon,Flores Kevin,Nam Chang S.^ORCID

Publisher

Elsevier BV

Reference81 articles.

1. Machine learning based sample extraction for automatic speech recognition using dialectal Assamese speech;Agarwalla;Neural Networks,2016

2. CutCat : An augmentation method for EEG classification;Al-saegh;Neural Networks,2021

3. A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke;Ang;Clinical EEG and Neuroscience,2015

4. Attention-inception and long-short-term memory-based electroencephalography classification for motor imagery tasks in rehabilitation;Amin;IEEE Transactions on Industrial Informatics,2022

5. On the effects of data normalization for domain adaptation on EEG data;Apicella;Engineering Applications of Artificial Intelligence,2023

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