A system approach for closed-loop assessment of neuro-visual function based on convolutional neural network analysis of EEG signals-Reference-Cited by-同舟云学术

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A system approach for closed-loop assessment of neuro-visual function based on convolutional neural network analysis of EEG signals

Published:2020-04-01 Issue: Volume: Page:
ISSN:
Container-title:Neurophotonics
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Author:

Stock Simon C.,Armengol-Urpi Alexandre,Kovacs Balint,Maier Heiko,Gerdes Marius,Stork Wilhelm,Sarma Sanjay E.

Publisher

SPIE

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. Towards EEG-based objective ADHD diagnosis support using convolutional neural networks;2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB);2023-08-29

2. Hybrid muddy electric fish and grasshopper optimization algorithm (MEF-GOA) based CNN for detection and severity differentiation of glaucoma in retinal fundus image;Journal of Intelligent & Fuzzy Systems;2023-01-30

3. End-to-End Deep Learning for Stress Recognition Using Remote Photoplethysmography;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

4. A Study of Glaucoma Diagnosis Using Brain–Computer Interface Technology;Lecture Notes in Electrical Engineering;2022

5. SSVEP phase synchronies and propagation during repetitive visual stimulation at high frequencies;Scientific Reports;2021-03-02

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