ETCNet: An EEG-based motor imagery classification model combining efficient channel attention and temporal convolutional network
Author:
Publisher
Elsevier BV
Subject
Developmental Biology,Neurology (clinical),Molecular Biology,General Neuroscience
Reference49 articles.
1. W. Al-Salman et al. Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithm Brain Research 2022, 1779, 147777.
2. A multi-branch convolutional neural network with squeeze-and-excitation attention blocks for eeg-based motor imagery signals classification;Altuwaijri;Diagnostics,2022
3. Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion;Amin;Future Generation Computer Systems,2019
4. Attention-inception and long-short-term memory-based electroencephalography classification for motor imagery tasks in rehabilitation;Amin;IEEE Transactions on Industrial Informatics,2021
5. Filter bank common spatial pattern algorithm on BCI competition IV datasets 2a and 2b;Ang;Frontiers in Neuroscience,2012
Cited by 5 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. EEG-VTTCNet: A loss joint training model based on the vision transformer and the temporal convolution network for EEG-based motor imagery classification;Neuroscience;2024-09
2. Application of the time-distributed layer in the controller of memory-augmented neural networks to classify brain activities into motor imagery and motor execution;Applied Soft Computing;2024-09
3. Based on channel and time attention convolutional network for motor imagery electroencephalogram decoding;Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security;2024-05-10
4. An effective classification approach for EEG-based motor imagery tasks combined with attention mechanisms;Cognitive Neurodynamics;2024-05-03
5. EISATC-Fusion: Inception Self-Attention Temporal Convolutional Network Fusion for Motor Imagery EEG Decoding;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3