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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Vydáno v:	IEEE access Ročník 7; s. 1775 - 1792
Hlavní autoři:	Chen, Chen, Ugon, Adrien, Sun, Chenglu, Chen, Wei, Philippe, Carole, Pinna, Andrea
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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