Browse > Article
http://dx.doi.org/10.15207/JKCS.2020.11.1.033

Design of Smart Pillow System for Managing Sleep Apnea  

Lee, Jong Chan (Dept. of Computer Engineering, Chungwoon University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.1, 2020 , pp. 33-39 More about this Journal
Abstract
Specialists have developed pillows that take into account sleep science and ergonomics, such as comfort for lying on your side. This pillow is made of natural latex material, and improved resilience after a certain period of time. A new idea was added to the pillow, which was naturally used for sleep, but could it add additional features for health care. Here, health care targets sleep apnea, which is known to be associated with serious illness. The purpose of this paper is to design a comprehensive service that uses a pressure sensor and a voice sensor to obtain information and to identify abnormal symptoms related to diseases from this information and to refer them to a specialist. It also covers the basic design and implementation to confirm the success of this system. Based on this design, the information obtained will be converted into a DB, and a server system for consultation with a specialist will be completed to upgrade the role of assistive health devices for sleep apnea.
Keywords
Smart pillow; Voice sensor; Pressure sensor; MCU; Sleep apnea;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 J. Jang, M. Lee & T. Lee. (2019). Development of T2DM Prediction Model Using RNN. Journal of Digital Convergence, 17(8), 249-255. DOI : 10.14400/JDC.2019.17.8.249   DOI
2 J. Lee, S. Lee & S. Lee. (2019). Comparison of Neck Pain, Shoulder Pain, and Comfort between Buckwheat and Latex Pillows, Korean J Health Promot, 19(2), 107-113   DOI
3 H. Kwon, J. Kim, J. Lee, H. Jang & S. Cho. (2014). The study on pillow height for arm paresthesia patients. J Korean Med Rehabil. 24(3), 165-171.
4 W. D. Duckitt, S. K. Tuomi & T. R. Niesler. (2006). automatic detection, segmentation and assessment of snoring from ambient acoustic data, Physiological Measurement, 27, 1047-1056.   DOI
5 J. G. Heo & Y. Yeong. (2006). The effect ergonomic pillow in patient with chronic neck pain. J. of the Ergonomics Society of Korea, 25(1), 17-25.
6 Y. Nam & Y. Lee. (1989). The Ergonomic Study on the Height of the Pillow[II], J. of the Ergonomics Society of Korea, 8(1), 3-17.
7 D. J. Eckert, A. Malhotra & A. S. Jordan. (2009). Mechanism of Apnea, Progress in Cardiovascular Diseases, 51, 313-323.   DOI
8 V. Hoffstein. (2002). Apnea and snoring: state of the art and future direction, Acta Otorhinolaryngol Belg, 56, 205-236.
9 H. Kim. (2016). REM optimal sensoring devices sleeper pillow for the healthy development of the alarm function weather, Journal of the KIECS. 11(2), 223-228
10 E. Ngai & I. Rodhe. (2013). On providing location privacy for mobile sinks in wireless sensor networks, Wireless Networks, 19(1), 115-130.   DOI
11 J. M. Siegel. (2005). Clues to the functions of mammalian sleep, Nature, 437, 1264-1271.   DOI
12 H. K. Yaggi, J. Concato, W. N. Kernan, J. H. Lichtman, L. M. Brass & V. Mohsenin. (2005). Obstructive sleep apnea as a risk factor for stroke and death, New England Journal of Medicine, 353, 2034-3041.   DOI
13 T. Young, P. E. Peppard & D. J. Gottlieb. (2002). Epidemiology of obstructive sleep apnea: a population health perspective, American Journal of Respiratory and Critical Care Medicine, 165, 1217-1239.   DOI
14 J.Cha, H. Choi, J. Shin & K. Lee. (2008). Development of PPG Pillow System for Unconstrained Respiration and Heart Rate Monitoring during Sleep, The conference on the institute of Electronics and Information Engineering, 1101-1102.
15 D. Cho, Y. Nam, H. Lee & Y. Kim. (2019). Image mood classification using deep CNN and its application to automatic video Generation, Journal of the Korea Convergence Society, 10(9), 23-29.
16 B. Kim & C. Moon. (2018). Snoring Sound Classification using Efficient Spectral Features and SVM for Smart Pillow, Journal of the Korea Industrial Information Systems Research, 23(2), 11-18.   DOI