DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty Estimates-Reference-Cited by-同舟云学术

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DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty Estimates

Published:2021 Issue: Volume:29 Page:2076-2085
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Fiorillo Luigi^ORCID,Favaro Paolo^ORCID,Faraci Francesca Dalia^ORCID

Funder

eurekaEurostars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9363468/09570807.pdf?arnumber=9570807

Cited by 62 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. Randomized Quaternion Minimal Gated Unit for sleep stage classification;Expert Systems with Applications;2024-12

2. PSEENet: A Pseudo-Siamese Neural Network Incorporating Electroencephalography and Electrooculography Characteristics for Heterogeneous Sleep Staging;IEEE Journal of Biomedical and Health Informatics;2024-09

3. A Lightweight Model for Physiological Signals-Based Sleep Staging With Multiclass CAM for Model Explainability;IEEE Sensors Journal;2024-09-01

4. SleepSatelightFTC: A Lightweight and Interpretable Deep Learning Model for Single-Channel EEG-Based Sleep Stage Classification;2024-08-06

5. GRU-powered sleep stage classification with permutation-based EEG channel selection;Scientific Reports;2024-08-02

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