U-EEG: A Deep Learning Autoencoder for the Detection of Ocular Artifact in EEG Signal-Reference-Cited by-同舟云学术

U-EEG: A Deep Learning Autoencoder for the Detection of Ocular Artifact in EEG Signal

Published:2021-12-04 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
language:
Short-container-title:

Author:

Onners J.,Alam M.,Cichy B.,Wymbs N.,Lukos J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9672252/9672254/09672271.pdf?arnumber=9672271

Reference10 articles.

1. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

2. The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology;klem;Electroencephalography and Clinical Neurophysiology Supplement,1999

3. Effect of locomotor demands on cognitive processing;bradford;Sci Rep 9 9234 2019,0

4. EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

5. U-Net: Convolutional Networks for Biomedical Image Separation;ronneberger;Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Intervention MICCAI 2015,2015

Cited by 3 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. GNSS-Denied Pedestrian Navigation Using Machine Learning Aided Gait Recognition;2024 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL);2024-03-25

2. Automatic Classification and Artifacts Removal of EEG Signal Using Supervised and Unsupervised Model;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

3. Proposal for a System for the Identification of the Concentration of Students Who Attend Online Educational Models;Computers;2023-04-06