TBSTSleepNet: Three-branch spectro-temporal bidirectional LSTM based attention model for EEG sleep staging-Reference-Cited by-同舟云学术

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TBSTSleepNet: Three-branch spectro-temporal bidirectional LSTM based attention model for EEG sleep staging

Published:2024-11 Issue: Volume:97 Page:106695
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

He Mingyuan,Tang Mengmeng,Meng Linyuan,Liang Zhenhu

Funder

Hebei Province Science and Technology Support Program

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Hebei Province Graduate Innovation Funding Project

National Aerospace Science Foundation of China

Publisher

Elsevier BV

Reference34 articles.

1. Sleep quality and more common sleep-related problems in medical students;Veldi;Sleep Med.,2005

2. The effects of Melissa officinalis supplementation on depression, anxiety, stress, and sleep disorder in patients with chronic stable angina;Haybar;Clin. Nutr. ESPEN,2018

3. The AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications;Iber,2007

4. Joint classification and prediction CNN framework for automatic sleep stage classification;Phan;IEEE Trans. Biomed. Eng.,2018

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