Multi-Class Sleep Stage Analysis and Adaptive Pattern Recognition

Multi-Class Sleep Stage Analysis and Adaptive Pattern Recognition

Multimodal signal analysis based on sophisticated sensors, efficient communicationsystems and fast parallel processing methods has a rapidly increasing range of multidisciplinaryapplications. The present paper is devoted to pattern recognition, machine learning, and the analysisof sleep stages in th...

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Bibliographic Details
Main Authors: Aleš Procházka, Jiří Kuchyňka, Oldřich Vyšata, Pavel Cejnar, Martin Vališ, Vladimír Mařík
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Applied Sciences
Subjects:
multimodal signal analysis
pattern recognition
machine learning
computational intelligence
polysomnography
sleep stage classification
Online Access:http://www.mdpi.com/2076-3417/8/5/697

Internet

http://www.mdpi.com/2076-3417/8/5/697

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