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Using Sleep Monitoring System for Estimating and Analysing the Sleep Stages

Using Sleep Monitoring System for Estimating and Analysing the Sleep Stages

Yuzhou Luo1, Ping Wang1, Kaijun Yu2*, Song Luo3 and Longjie Sun4

1Business School, Guilin University of Technology, Guilin, China
2Library, Shanghai University of Medicine and Health Sciences, Shanghai, China
3Department of Equipment, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
4Faculty of Foreign Languages, Shanghai University of Medicine and Health Sciences, Shanghai, China

*      Corresponding author: yuhealth@126.com

ABSTRACT

In this work, the sleep stages discrimination by breath sounds have been used as characteristic parameters for monitoring sleeping condition. Our objective was to determine and verify a high performance algorithm to correlate the sleep stages with respective stages of breath sound signals. The algorithm was designed for breath sound signals and was tested with several all-night days data acquired with our laboratory-made sleep monitoring system. Furthermore, a commercial system was compared for validating the efficiency of our proposed algorithm. This work is the first study that successfully used breath sounds to classify sleeping conditions. The experiment validates the effectiveness of the proposed algorithm.
 

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Pakistan Journal of Zoology

December

Vol. 53, Iss. 6, Pages 2001-2521

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