PRELIMINARY STUDY ON SLEEP MONITORING SYSTEM CONFIGURATION TOWARD AN OPTIMAL AMBIENT CONDITION SETTING ON THE QUALITY OF SLEEP

Authors

  • Wira Hidayat Mohd Saad
  • Ahmad Sayuthi Mohamad Shokri Faculty of Electrical and Electronics Engineering Technology, Universiti Teknikal Malaysia Melaka
  • Syafeeza Ahmad Radzi Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka
  • S. J. A. Razak Solok fertigasi, MSJ perwira enterprise
  • Muhammad Norazlan Shah Zainudin Faculty of Electronics and Computer Engineering,Universiti Teknikal Malaysia Melaka

DOI:

https://doi.org/10.32896/ajmedtech.v1n1.60-72

Keywords:

Sleep Monitoring Systems, Ambient Monitoring Systems, Body Monitoring Systems, Bluetooth Low Energy (BLE)

Abstract

Sleep is a form of rest and getting enough sleep at the right times with suitable surrounding conditions is very important to maintain good health throughout life. The study aims to develop the end-user prototyping for a sleep monitoring system that measures the room ambient and body condition by using a wireless device utilizing Bluetooth Low Energy (BLE) embedded system. For the user interface, the Window application is used to display the collected data from separate ambient parameters and body condition embedded systems using Bluno Uno and Bluno Nano respectively. This sleep monitoring system also equipt with a video and audio based recording from the web camera and microphone of the built-in PC based unit. Capturing data from body monitoring and ambient monitoring separate units are then transferred to the Window based application by using the BLE connection and lastly, the captured data are log into the MySQL database with the date and time stamp. The ambient condition system captured the room temperature and humidity, light intensity and rate of CO2 concentration. The body condition system, it is measuring body temperature, heart rate and body movement. Based on the device testing on sleep monitoring, each of the parameters measured is optimized to choose the best possible occurrence of ambience setting selection for optimal sleep quality.

References

V. V. Vyazovskiy, “Sleep, recovery, and metaregulation: explaining the benefits of sleep,” Nature and science of sleep, vol. 7, p. 171, 2015.

J. W. Kantelhardt, T. Penzel, S. Rostig, H. F. Becker, S. Havlin, and A. Bunde, “Breathing during REM and non-REM sleep: correlated versus uncorrelated behaviour,” Physica A: Statistical Mechanics and its Applications, vol. 319, pp. 447–457, 2003.

J. W. Burns, F. B. Consens, R. J. Little, K. J. Angell, S. Gilman, and R. D. Chervin, “EMG variance during polysomnography as an assessment for REM sleep behavior disorder,” Sleep, vol. 30, no. 12, pp. 1771–1778, 2007.

R. Ferri et al., “A quantitative statistical analysis of the submentalis muscle EMG amplitude during sleep in normal controls and patients with REM sleep behavior disorder,” Journal of sleep research, vol. 17, no. 1, pp. 89–100, 2008.

M. Baboli, A. Singh, B. Soll, O. Boric-Lubecke, and V. M. Lubecke, “Good night: Sleep monitoring using a physiological radar monitoring system integrated with a polysomnography system,” IEEE Microwave Magazine, vol. 16, no. 6, pp. 34–41, 2015.

A. Mamelak and J. A. Hobson, “Nightcap: a home-based sleep monitoring system,” Sleep, vol. 12, no. 2, pp. 157–166, 1989.

W. H. M. Saad, C. W. Khoo, S. I. A. Rahman, M. M. Ibrahim, and N. H. M. Saad, “Development of sleep monitoring system for observing the effect of the room ambient toward the quality of sleep,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 210, p. 012050, Jun. 2017, doi: 10.1088/1757-899X/210/1/012050.

F. Lin et al., “SleepSense: A noncontact and cost-effective sleep monitoring system,” IEEE transactions on biomedical circuits and systems, vol. 11, no. 1, pp. 189–202, 2016.

W. H. bin Mohd Saad et al., “Study on the Effect of the Ambient Temperature toward the Quality of Sleep,” IJECE, vol. 7, no. 6, p. 2986, Dec. 2017, doi: 10.11591/ijece.v7i6.pp2986-2992.

K. P. Wright Jr, C. Gronfier, J. F. Duffy, and C. A. Czeisler, “Intrinsic period and light intensity determine the phase relationship between melatonin and sleep in humans,” Journal of biological rhythms, vol. 20, no. 2, pp. 168–177, 2005.

P. Batog and M. Badura, “Dynamic of Changes in Carbon Dioxide Concentration in Bedrooms,” Procedia Engineering, vol. 57, pp. 175–182, Jan. 2013, doi: 10.1016/j.proeng.2013.04.025.

X. Xu et al., “Experimental study on sleep quality affected by carbon dioxide concentration,” Indoor air, vol. 31, no. 2, pp. 440–453, 2021.

X. Zhang, G. Luo, J. Xie, and J. Liu, “Associations of bedroom air temperature and CO2 concentration with subjective perceptions and sleep quality during transition seasons,” Indoor air, 2021.

Downloads

Published

2021-07-30

How to Cite

Mohd Saad, W. H., Mohamad Shokri, A. S., Ahmad Radzi, S., Razak, S. J. A., & Zainudin, M. N. S. (2021). PRELIMINARY STUDY ON SLEEP MONITORING SYSTEM CONFIGURATION TOWARD AN OPTIMAL AMBIENT CONDITION SETTING ON THE QUALITY OF SLEEP. Asian Journal Of Medical Technology, 1(1), 60–72. https://doi.org/10.32896/ajmedtech.v1n1.60-72

Issue

Vol. 1 No. 1 (2021): Asian Journal of Medical Technology

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.