SHNN: A single-channel EEG sleep staging model based on semi-supervised learning-Reference-Cited by-同舟云学术

SHNN: A single-channel EEG sleep staging model based on semi-supervised learning

Published:2023-03 Issue: Volume:213 Page:119288
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhang Yongqing^ORCID,Cao Wenpeng^ORCID,Feng Lixiao^ORCID,Wang Manqing^ORCID,Geng Tianyu^ORCID,Zhou Jiliu^ORCID,Gao Dongrui^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

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2. Interrater sleep stage scoring reliability between manual scoring from two European sleep centers and automatic scoring performed by the artificial intelligence–based Stanford-STAGES algorithm;Cesari;Journal of Clinical Sleep Medicine,2021

3. Sleep staging from single-channel EEG with multi-scale feature and contextual information;Chen;Sleep and Breathing,2019

4. A review on current trends in automatic sleep staging through bio-signal recordings and future challenges;Chriskos;Sleep Medicine Reviews,2021

5. The dreams databases and assessment algorithm;Devuyst,2005

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