Sensor pillow and bed sheet system: Unconstrained monitoring of respiration rate and posture movements during sleep

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.

[1]  Daming Wei,et al.  Real-Time Monitoring of Respiration Rhythm and Pulse Rate During Sleep , 2006, IEEE Transactions on Biomedical Engineering.

[2]  B. Hök,et al.  Critical review of non-invasive respiratory monitoring in medical care , 2003, Medical and Biological Engineering and Computing.

[3]  Robert Wolk,et al.  Sleep and cardiovascular disease. , 2005, Current problems in cardiology.

[4]  Hiroshi Mizoguchi,et al.  Monitoring patient respiration and posture using human symbiosis system , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

[5]  Tomomasa Sato,et al.  Sensor pillow system: monitoring respiration and body movement in sleep , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[6]  Kajiro Watanabe,et al.  Noncontact method for sleep stage estimation , 2004, IEEE Transactions on Biomedical Engineering.

[7]  S. Wilking,et al.  CONTINUING MEDICAL EDUCATION Pressure ulcers , 1998 .

[8]  Conor Heneghan,et al.  Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea , 2006, IEEE Transactions on Biomedical Engineering.

[9]  Elizabeth A V Jones,et al.  The initiation of blood flow and flow induced events in early vascular development. , 2011, Seminars in cell & developmental biology.

[10]  Tomomasa Sato,et al.  Pressure distribution image based human motion tracking system using skeleton and surface integration model , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[11]  Xin Zhu,et al.  Unconstrained detection of respiration rhythm and pulse rate with one under-pillow sensor during sleep , 2005, Medical and Biological Engineering and Computing.

[12]  S. Wilking,et al.  Pressure ulcers. , 1998, Journal of the American Academy of Dermatology.

[13]  Alpo Värri,et al.  Automatic detection of spiking events in EMFi sheet during sleep. , 2006, Medical engineering & physics.

[14]  Jong-Tae Lim,et al.  Robotic smart house to assist people with movement disabilities , 2007, Auton. Robots.