SleepNet-Lite: A Novel Lightweight Convolutional Neural Network for Single-Channel EEG-Based Sleep Staging-Reference-Cited by-同舟云学术

SleepNet-Lite: A Novel Lightweight Convolutional Neural Network for Single-Channel EEG-Based Sleep Staging

Published:2023-02 Issue:2 Volume:7 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Zhou Huihui¹^ORCID,Liu Aiping¹^ORCID,Cui Heng¹,Bie Yuanzhi²,Chen Xun¹^ORCID

Affiliation:

1. School of Information Science and Technology, University of Science and Technology of China, Hefei, China

2. Department of Otorhinolaryngology-Head, Neck Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/10026816/10024867.pdf?arnumber=10024867

Reference24 articles.

1. An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG

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4. PhysioBank, PhysioToolkit, and PhysioNet

5. ShuffleNet V2: Practical guidelines for efficient CNN architecture design;ma;Proc Eur Conf Comput Vis,0

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