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
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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December 2021
Vol. 53, Iss. 6, Pages 2001-2521
