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http://dx.doi.org/10.13067/JKIECS.2022.17.3.491

Sleep Monitoring by Contactless in daily life based on Mobile Sensing  

Seo, Jung-Hee (Dept. of Computer Engineering, Tongmyong University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.17, no.3, 2022 , pp. 491-498 More about this Journal
Abstract
In our daily life, quality of sleeping is closely related to happiness index. Whether or not people perceive sleep disturbance as a chronic disease, people complain of many difficulties, and in their daily life, they often experience difficulty breathing during sleep. It is very important to automatically recognize breathing-related disorders during a sleep, but it is very difficult in reality. To solve this problem, this paper proposes a mobile-based non-contact sleeping monitoring for health management at home. Respiratory signals during the sleep are collected by using the sound sensor of the smartphone, the characteristics of the signals are extracted, and the frequency, amplitude, respiration rate, and pattern of respiration are analyzed. Although mobile health does not solve all problems, it aims at early detection and continuous management of individual health conditions, and shows the possibility of monitoring physiological data such as respiration during the sleep without additional sensors with a smartphone in the bedroom of an ordinary home.
Keywords
Sleep Monitoring; STFT; Mobile Health; Respiration Rate;
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