Fine-grained EEG classification using convolution neural network

Jingyang She; Lirong Yan; Wenjiang Liu; Fuwu Yan; Yibo Wu

doi:10.1117/12.2673441

3 April 2023 Fine-grained EEG classification using convolution neural network

Jingyang She, Lirong Yan, Wenjiang Liu, Fuwu Yan, Yibo Wu

Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 125991Y (2023) https://doi.org/10.1117/12.2673441
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China

Abstract

Brain-computer interface (BCI) is a technology that enables direct communication with machines through brain signals. As BCI technology evolves into new applications, the need for robust feature extraction technology will only continue to increase. In BCI tasks with small amplitude variations, such as low-contrast oddball classification, classification and recognition of EEG signals are challenging. Inspired by fine-grained classification in the field of image classification, this study innovatively uses and integrates some fine-grained classification strategies based on convolutional neural networks to improve the classification performance of the system through feature learning and feature fusion at part-level and multi-scale. Ten subjects were recruited to perform the subthreshold low-contrast Oddball task. The results showed that Fine-grained EEG CNN had a better performance in small-difference EEG signal classification compared with the classical EEG convolution neural network. Therefore, we provide a valuable new strategy for improving the classification performance of small-difference EEG signals.

Citation Download Citation

Jingyang She, Lirong Yan, Wenjiang Liu, Fuwu Yan, and Yibo Wu "Fine-grained EEG classification using convolution neural network", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 125991Y (3 April 2023); https://doi.org/10.1117/12.2673441

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Electroencephalography

Feature extraction

Brain-machine interfaces

Machine learning

Convolution

Image classification

Education and training

Show All Keywords

Keywords/Phrases

Search In:

Publication Years