EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery

The 3D-CNN-GAN algorithm significantly enhances the generalizability of EEG-based motor imagery brain-computer interfaces (BCIs). Additionally, this research offers valuable insights into the potential applications of motor imagery BCIs.

Authors

Shouwei Gao (ORCID: https://orcid.org/0000-0001-9268-0995)
Banghua Yang
Peng Zan (ORCID: https://orcid.org/0000-0003-2588-2188)
Xiaoou Li (ORCID: https://orcid.org/0000-0003-3087-7375)
Chengcheng Fan (ORCID: https://orcid.org/0000-0002-5402-6471)

Institutions

Shanghai University of Medicine and Health Sciences (CN)

Publication Details

Journal: Journal of Integrative Neuroscience
Published: 2024-08-20
DOI: https://doi.org/10.31083/j.jin2308153
Citations: 12
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 4.11

Funders

National Natural Science Foundation of China

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article

EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery

Shouwei Gao, Banghua Yang, Peng Zan, Xiaoou Li et al.

Aug 20, 2024

12 citations

Journal of Integrative Neuroscience

EEG and Brain-Computer Interfaces

4.11

article

EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery

Shouwei Gao, Banghua Yang, Peng Zan, Xiaoou Li, Chengcheng Fan

August 20, 2024article en

12 citations

Abstract

The 3D-CNN-GAN algorithm significantly enhances the generalizability of EEG-based motor imagery brain-computer interfaces (BCIs). Additionally, this research offers valuable insights into the potential applications of motor imagery BCIs.

Journal of Integrative NeuroscienceVol. 23(8)

Shanghai University of Medicine and Health Sciences (CN)

National Natural Science Foundation of China

Openalex Percentile: Top 5%

EEG and Brain-Computer Interfaces

4.11

DOI Open Access PDF OpenAlex

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EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery — Shouwei Gao, Banghua Yang, et al. · Journal of Integrative Neuroscience (2024) | TGRS Research Map | TGRS