Optimal Sparse Autoencoder Based Sleep Stage Classification Using Biomedical Signals-Reference-Cited by-同舟云学术

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Optimal Sparse Autoencoder Based Sleep Stage Classification Using Biomedical Signals

Published:2023 Issue:2 Volume:44 Page:1517-1529
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Kumar Dutta Ashit,Albagory Yasser,Al Faraj Manal,A. M. Eltahir Yasir,Rahaman Wahab Sait Abdul

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v44n2/48275/pdf

Reference18 articles.

1. A decision support system for automated identification of sleep stages from single-channel EEG signals;Hassan;Knowledge-Based Systems,2017

2. Classification of sleep stages based on LSTAR model;Ghasemzadeh;Applied Soft Computing,2019

3. Multi-modality of polysomnography signals’ fusion for automatic sleep scoring;Yan;Biomedical Signal Processing and Control,2019

4. Opposite effect of motivated forgetting on sleep spindles during stage 2 and slow wave sleep;Dehnavi;Sleep,2019

5. Deep learning for automated feature discovery and classification of sleep stages;Sokolovsky;IEEE/ACM Transactions on Computational Biology and Bioinformatics,2020

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