Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS-Reference-Cited by-同舟云学术

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Improved dilation CapsuleNet for motor imagery and mental arithmetic classification based on fNIRS

Published:2024-04-05 Issue:1 Volume:3 Page:
ISSN:2770-6710
Container-title:Brain-Apparatus Communication: A Journal of Bacomics
language:en
Short-container-title:Brain-Apparatus Communication: A Journal of Bacomics

Author:

Li Yu¹,Xu Tao¹,Li Junhua¹²,Wan Feng³,Wang Hongtao¹

Affiliation:

1. Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China

2. School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK

3. Department of Electrical and Computer Engineering, Faculty of Science and Engineering, University of Macau, Macau, China

Funder

Wuyi University and Hong Kong & Macao joint Research Project

the Special Fund for Science and Technology of Guangdong Province

Projects for International Scientific and Technological Cooperation of Guangdong Province

Technology Development Project of Guangdong Province

Scientific Research of High-level Talents of Wuyi University

Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/27706710.2024.2335886

Reference63 articles.

1. Implementation of a Brain-Computer Interface for Robotic Arm Control

2. A novel task-oriented optimal design for P300-based brain–computer interfaces

3. Coupling of brain activity and cerebral blood flow: basis of functional neuroimaging;Villringer A;Cerebrovasc Brain Metabol Rev,1995

4. Noninvasive, Infrared Monitoring of Cerebral and Myocardial Oxygen Sufficiency and Circulatory Parameters

5. Measures of prefrontal functional near-infrared spectroscopy in visuomotor learning

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decoding the scientific creative-ability of subjects using dual attention induced graph convolutional-capsule network;Applied Soft Computing;2024-08

2. Research on Motor Imagery EEG Signals Based on Dynamic Graph Convolutional Neural Networks;Computer Science and Application;2024

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