Using Sleep Monitoring System for Estimating and Analysing the Sleep Stages | [Pakistan Journal of Zoology • 2021]

Author(s):

1. Yuzhou Luo: Business School, Guilin University of Technology,Guilin,China

2. Ping Wang: Business School, Guilin University of Technology,Guilin,China

3. Kaijun Yu: Library, Shanghai University of Medicine and Health Sciences, Shanghai, China

4. Song Luo: Department of Equipment, The Affiliated Hospital of Guizhou Medical University,Guiyang,China

5. Longjie Sun: Faculty of Foreign Languages, Shanghai University of Medicine and Health Sciences,Shanghai,China

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.

Page(s): 2491-2494

DOI: 10.17582/journal.pjz/20200407190434

Published: Journal: Pakistan Journal of Zoology, Volume: 53, Issue: 6, Year: 2021

Keywords:

Monitoring System , Breath sound , Sleep stages

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