Evaluating sleep-stage classification: how age and early-late sleep affects classification performance-Reference-Cited by-同舟云学术

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Evaluating sleep-stage classification: how age and early-late sleep affects classification performance

Published:2023-11-06 Issue:2 Volume:62 Page:343-355
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Moris Eugenia^ORCID,Larrabide Ignacio

Funder

Ministerio de Ciencia, Tecnologia e Innovacion de la Nacion

CONICET

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-023-02943-7.pdf

Reference35 articles.

1. Rundo JV, Downey R III (2019) Polysomnography. Handb Clin Neurol 160:381

2. McKinley S, Fien M, Elliott R, Elliott D (2013) Sleep and psychological health during early recovery from critical illness: an observational study. J Psychosom Res 75(6):539

3. da Silveira TL, Kozakevicius AJ, Rodrigues CR (2017) Single-channel EEG sleep stage classification based on a streamlined set of statistical features in wavelet domain. Med Biol Eng Comput 55(2):343

4. Hassan AR, Bhuiyan MIH (2017) Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting. Comput Methods Programs Biomed 140:201

5. Rahman MM, Bhuiyan MI, Hassan AR (2018) Sleep stage classification using single-channel EOG. Comput Biol Med 102:211

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effects of gender and age on sleep EEG functional connectivity differences in subjects with mild difficulty falling asleep;Frontiers in Psychiatry;2024-07-09

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