Browse > Article

Snoring Detection Sleep Pillow  

Tran, Minh (Department of Electronic Engineering, Keimyung University)
Ahn, Dohyun (Department of Biomedical Engineering, Kyungpook National University)
Park, Jaehee (Department of Electronic Engineering, Keimyung University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.20, no.2, 2019 , pp. 105-110 More about this Journal
Abstract
People sleep about one-third of their lives and their sleep time varies according to age. Adult usually sleep 8 hours a day. However, that dose not guarantee good sleep. The cause of this is due to sleep disorders like snoring and sleep apnea. In this paper, the smart pillow for detecting snoring among sleep disorders is investigated. This pillow consists of two microphones located on the left and right side of the pillow. For simple detecting, the snoring signal was converted into the pulse using a peak detection circuit. The decision of the snoring occurrence was by pulse duration. The accuracy of the snoring detection was about 97%. The research results show that the smart pillow can be use to detect the snoring during sleeping.
Keywords
Snoring; Smart pillow; Peak detection; Respiration; Sleep apnea;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 A. Chesson, M. Littner, D. Davila, W. Anderson, M. Damberger, K. Hartse, S. Johnson, and M. Wise, "Practice parameters for the use of light therapy in the treatment of sleep disorders", Sleep, vol. 22, pp.641-660, 1999.   DOI
2 S. Elliott, M. Kim, J. Beaulieu, and G. Stefano, "Sound therapy induced relaxation: down regulating stress processes and pathologies", Medical Science Monitor, vol. 9, pp.116-121, 2003.
3 M. David, J. Patrie, R. Felder, and M. Alwan, "Development and preliminary validation of heart rate and breathing rate detection using a passive, ballistocardiography-based sleep monitoring system", IEEE Tran. Inf. Technol. Biomed., vol. 13, pp.111-120, 2009.   DOI
4 J. Kelly, R. Strecker, and M. Bianchi, " Recent developments in home sleep-monitoring devices", ISRN Neurol., vol. 2012, pp.1-10, 2012.
5 S. Gyualy, D. Gould, B. Sawyer, D. Pond, A. Mant, and N. Saunders, "Evaluation of a microprocessor-based portable home monitoring system to measure breathing during sleep", Sleep, vol. 10, pp. 130-142, 1987.   DOI
6 H. Ju, Y. Park, J. Park, B. Lee, J. lee, and J. Lee, "Real-Time Driver's Biological Signal Monitoring System", Sensors Mater., vol. 27, pp.51-59, 2015.
7 D. Ahn, T. Minh, J. Lee, and J. Park, "Respiration measurement sleeping pillow system", Journal of Sensor Science and Technology, vol. 26, pp.280-285, 2017.   DOI
8 X. Zhu, W. Chen, T. Nemoto, Y. Kanemitsu, K. Kitamura, K. Yamakoshi, and D. Wei, "Real-time monitoring of respiration rhythm and pulse rate during sleep", IEEE Tran. Biomed. Eng., vol. 53, pp.2553-2563, 2006.   DOI
9 S. Eom, J. Park, and J. Lee. "Optical fiber arterial pulse wave sensor." Microwave Opt. Technol. Lett., vol.52, pp.1318-1321, 2010.   DOI
10 H. Lee, Y. Jang, and W. Chung, "Motor Imagery based Application Control using 2 Channel EEG Sensor", Journal of Sensor Science and Technology, vol. 25, pp.257-263, 2016.   DOI
11 F. Bezombes, M. Lalor, and D. Burton, " Contact microphone using optical fibre bragg gratting technology", J. Phys.: Conf. Ser., vol 76, pp.1-6, 2007.   DOI
12 H. Shin and J. Cho, " Unconstrained snoring detection using a smartphone during ordinary sleep", Biomed. Eng. Online, vol 13, pp. 1-14, 2014.   DOI
13 K. Watanabe, T. Watanabe, H. watanabe, H. Ando, T. Ishihawa, and K. Kobayashi, " Noninvasive measurement of heartbeat, respiration, snoring and body movements of a subject in Bed via a pneumatic method," IEEE Trnas. Biomed. Eng., vol. 52, pp. 2100-2107, 2005.   DOI
14 T. Penzel, G. Amend, K. Meinzer, J. Peter, and P. Wichert, " MESAM; a heart rate and snoring recorder for detection of obstructive sleep apnea," Sleep, vol. 13, pp. 175-182, 1990.   DOI
15 J. Kim, Y. Noh, and D. Jeong, " Implementation of real-time heart activity monitoring system using heart sound, Journal of Convergence Signal Processing, vol. 1p, pp. 14-19, 2018.