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...

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Veröffentlicht in:	IEEE access Jg. 7; S. 1775 - 1792
Hauptverfasser:	Chen, Chen, Ugon, Adrien, Sun, Chenglu, Chen, Wei, Philippe, Carole, Pinna, Andrea
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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