TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG-Reference-Cited by-同舟云学术

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TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG

Published:2020-07 Issue: Volume: Page:
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Container-title:2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Supratak Akara,Guo Yike

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9167168/9175149/09176741.pdf?arnumber=9176741

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3. Mutual Distillation Extracting Spatial-temporal Knowledge for Lightweight Multi-channel Sleep Stage Classification;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. Brant-X: A Unified Physiological Signal Alignment Framework;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

5. FPJA-Net: A Lightweight End-to-End Network for Sleep Stage Prediction Based on Feature Pyramid and Joint Attention;Interdisciplinary Sciences: Computational Life Sciences;2024-08-19

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