Micro SleepNet: efficient deep learning model for mobile terminal real-time sleep staging

Micro SleepNet: efficient deep learning model for mobile terminal real-time sleep staging

The real-time sleep staging algorithm that can perform inference on mobile devices without burden is a prerequisite for closed-loop sleep modulation. However, current deep learning sleep staging models have poor real-time efficiency and redundant parameters. We propose a lightweight and high-perform...

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Bibliographic Details
Main Authors: Guisong Liu, Guoliang Wei, Shuqing Sun, Dandan Mao, Jiansong Zhang, Dechun Zhao, Xuelong Tian, Xing Wang, Nanxi Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Neuroscience
Subjects:
sleep staging
real-time efficiency
lightweight design
deep learning
model deployment
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1218072/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1218072/full

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