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- August 6, 2024.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Author Information
- *Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
- †Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan and with the RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
- ↵§(Corresponding author: Toshihisa Tanaka.), (e-mail: tanakat{at}cc.tuat.ac.jp).
Posted August 06, 2024.
SleepSatelightFTC: A Lightweight and Interpretable Deep Learning Model for Single-Channel EEG-Based Sleep Stage Classification
