The Tent-type Clean Unit System Platform for Air Cleaning and Non-contact Sleep Assessment

التفاصيل البيبلوغرافية
العنوان: The Tent-type Clean Unit System Platform for Air Cleaning and Non-contact Sleep Assessment
المؤلفون: Sheng-Fu Liang, Akira Ishibashi, Masahiro Yasutake, Tsung-Hao Hsieh, Yong Song Liu
المصدر: Proceedings of the 2019 3rd International Conference on Computational Biology and Bioinformatics.
بيانات النشر: ACM, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Noise, Unit system, medicine.diagnostic_test, medicine, Sleep assessment, Environmental science, Body movement, Sleep (system call), Electroencephalography, Air quality index, Particle counter, Simulation
الوصف: Sleep is important to maintain human's physiological and psychological well-being. The quality is often affected by many environmental factors, such as air dust, temperature and noise. This paper proposes a tent-type clean unit system platform (T-CUSP) to construct a high air quality sleep environment. In this approximate independent-system, the feasibility of non-contact sleep monitoring method based on gas-molecule and air-particle analysis would be evaluated. In this paper, 7 overnight sleep experiments were performed with simultaneous recording of mini PSG (EEG, EOG, and EMG) for sleep staging and actigraph for body movement. The air quality was monitored by the particle counter and fluctuation of air-borne particle. The average concentrations of PM2.5, PM10, and CO2 in the T-CUSP during sleep were 4.85±3.2 μ g/m3, 8.43±4.5 μ g/m3, and 1122±128 ppm, respectively. The air-quality of T-CUSP conform to the agreed limits in US and EU. Furthermore, the fluctuation of CO2 can reflect the behavior of subjects. 91% of CO2 rising epochs were accompanied by a significant body movement and could be identified as the "wake" stage. The short experimental results demonstrate the feasibility of constructing an air-clean environment with non-contact sleep assessment to support healthy sleep.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fca3293acbe6e5a24b1563b3d4233ab4
https://doi.org/10.1145/3365966.3365979
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........fca3293acbe6e5a24b1563b3d4233ab4
قاعدة البيانات: OpenAIRE