Improving Sleep Stage Classification Performance by Single-Channel EEG Data Augmentation via Spectral Band Blending
Author:
Funder
National Research Foundation of Korea (NRF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9385268/9385288/09385297.pdf?arnumber=9385297
Cited by 6 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. GRU-powered sleep stage classification with permutation-based EEG channel selection;Scientific Reports;2024-08-02
2. Source-free Subject Adaptation for EEG-based Visual Recognition;2023 11th International Winter Conference on Brain-Computer Interface (BCI);2023-02-20
3. EEG-based 5- and 2-class CNN for Sleep Stage Classification;IFAC-PapersOnLine;2023
4. Automatic Sleep-Wake Scoring with Optimally Selected EEG Channels from High-Density EEG;Brain Informatics;2023
5. SleepExpertNet: high-performance and class-balanced deep learning approach inspired from the expert neurologists for sleep stage classification;Journal of Ambient Intelligence and Humanized Computing;2022-10-20
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