Automated sleep stage detection based on recurrence quantification analysis using machine learning

In recent years, the use of intelligent methods for automatic detection of sleep stages in medical applications to increase diagnostic accuracy and reduce the workload of physicians in analyzing sleep data by visual inspection is one of the important issues. The most important step for the automatic...

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Bibliographic Details
Main Authors: Mohammad Karimi Moridani, Atiye Hajiali
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, Iran 2022-10-01
Series:Journal of Applied Research on Industrial Engineering
Subjects:
Online Access:http://www.journal-aprie.com/article_141618_83140573dad69f0a7c10312c31e1f939.pdf