TY - GEN
T1 - Sensor pillow and bed sheet system
T2 - 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
AU - Lokavee, Shongpun
AU - Puntheeranurak, Theeraporn
AU - Kerdcharoen, Teerakiat
AU - Watthanwisuth, Natthapol
AU - Tuantranont, Adisorn
PY - 2012
Y1 - 2012
N2 - In this paper, we have developed a low-cost sleep monitoring system for patient based on polysomnography which will be useful for patient communication with healthcare personals and/or relatives. In particular, we have presented the sensor pillow and bed sheet system that employs wireless networks based on low-cost ZigBee technology and a sensor array of force sensitive resistors (FSR) based on polymer thick film (PTF) device, for classifying and specifically verifying the respiration rate during sleep. This paper also proposes a simple motion model that explains the change of head and body pressure distribution. In addition, we can detect some physiological parameters during the sleep stages and wakefulness as well as record respiration rate as related to different physiological factors. The integration of this sensor system and wireless technology with computer software could make this healthcare monitoring system a commercial product valuable for point-of-care applications.
AB - In this paper, we have developed a low-cost sleep monitoring system for patient based on polysomnography which will be useful for patient communication with healthcare personals and/or relatives. In particular, we have presented the sensor pillow and bed sheet system that employs wireless networks based on low-cost ZigBee technology and a sensor array of force sensitive resistors (FSR) based on polymer thick film (PTF) device, for classifying and specifically verifying the respiration rate during sleep. This paper also proposes a simple motion model that explains the change of head and body pressure distribution. In addition, we can detect some physiological parameters during the sleep stages and wakefulness as well as record respiration rate as related to different physiological factors. The integration of this sensor system and wireless technology with computer software could make this healthcare monitoring system a commercial product valuable for point-of-care applications.
KW - healthcare monitoring
KW - polysomnography
KW - wireless sensor networks
UR - https://www.scopus.com/pages/publications/84872380809
U2 - 10.1109/ICSMC.2012.6377959
DO - 10.1109/ICSMC.2012.6377959
M3 - Conference contribution
AN - SCOPUS:84872380809
SN - 9781467317146
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1564
EP - 1568
BT - Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Y2 - 14 October 2012 through 17 October 2012
ER -