Biological Signals for Diagnosing Sleep Stages Using Machine Learning Models-Reference-Cited by-同舟云学术

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Biological Signals for Diagnosing Sleep Stages Using Machine Learning Models

Published:2023-01-25 Issue: Volume: Page:
ISSN:
Container-title:2023 28th International Computer Conference, Computer Society of Iran (CSICC)
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Author:

Hassanzadeh Mostafaei Sahar¹,Tanha Jafar¹,Sharafkhaneh Amir²,Agrawal Ritwick²,Hassanzadeh Mostafaei Zohair³

Affiliation:

1. University of Tabriz,Faculty of Electrical and Computer Engineering,Tabriz,Iran

2. Baylor College of Medicine,Section of Pulmonary, Critical Care and Sleep Medicine,Department of Medicine,Houston,Texas,USA

3. Islamic Azad University of Tabriz Branch,Department of Computer Engineering,Tabriz,Iran

Funder

National Heart, Lung, and Blood Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10105300/10105309/10105400.pdf?arnumber=10105400

Reference31 articles.

1. Feature extraction methods: a review;wamidh;Journal of Physics Conference Series,0

2. The National Sleep Research Resource: towards a sleep data commons

3. A One-Way Components of Variance Model for Categorical Data

4. Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG

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