Towards a Hybrid Expert System Based on Sleep Event's Threshold Dependencies for Automated Personalized Sleep Staging by Combining Symbolic Fusion and Differential Evolution Algorithm

Identification of sleep stages is a fundamental step in clinical sleep analysis. Existing automatic sleep staging systems ignore two major issues: 1) Most of existing automatic sleep staging systems are using numerical classification methods without involving medical knowledge. These kinds of system...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE access Vol. 7; pp. 1775 - 1792
Main Authors:	Chen, Chen, Ugon, Adrien, Sun, Chenglu, Chen, Wei, Philippe, Carole, Pinna, Andrea
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial Intelligence automatic sleep staging system Automation Bioengineering Biomedical imaging Classification Computer Science Customization Datasets Decision making Evolutionary algorithms Evolutionary computation Expert systems Feature extraction Guidelines Hybrid systems Knowledge-based system Life Sciences Manuals Medical services Numerical methods personalization Physicians Robustness (mathematics) Sleep symbolic fusion Thresholds Training automatic sleep staging system personalization Knowledge-based system symbolic fusion
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!