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Vol: 58(72) No: 1 / March 2013 Low Power Wearable Device for Sleep Disorders Monitoring Cristian Rotariu Department of Computer Science, \"Gheorghe Asachi\" Technical University of Iasi, Dimitrie Mangeron, No. 27, 700050, Iasi, Romania, phone: +40-232-231343, e-mail: cr.rotariu@yahoo.com Robert Lupu Department of Computer Science, \"Gheorghe\" Asachi Technical University of Iasi, Dimitrie Mangeron, No. 27, 700050, Iasi, Romania George Vieriu Department of Computer Science, \"Gheorghe Asachi\" Technical University of Iasi, Dimitrie Mangeron, No. 27, 700050, Iasi, Romania Keywords: accelerometers, remote monitoring system, sleep disorders, wireless low power Abstract In this paper is described the research for the design and realization of a flexible, scalable and cost-effective medical remote monitoring system for the detection of sleep-related disorders. The use of wireless low-power devices is suitable for continuous long-time monitoring of human respiration for a number of medical conditions requiring analysis of respiratory rhythm, sleep-related breathing disorder or ischemic heart disease. The proposed system is mainly used to monitor patients suffering from obstructive sleep apnea episodes, with a high degree of accuracy within hospital or their homes. The patient’s respiration rate are continuously measured by using wireless accelerometer-based devices and then transferred to a central monitoring station via a wireless sensor network. The central monitoring station runs a patient respiration monitor application that receives the patient’s respiration rate from network and activates an alert when a sleep apnea episode is detected. A user-friendly Graphical User Interface was developed for the respiration monitor application to display the received respiration rates from the selected monitored patient and the sleep apnea alerts. A prototype of the system has been developed, implemented and tested. References [1] E. Jovanov, D. Raskovic, R. Hormigo, “Thermistor-based Breathing Sensor for Circadian Rhythm Evaluation”, Proceedings of the 38th Annual Rocky Mountain Bioengineering Symposium (RMBS 2001), Copper Mountain Conference. [2] R. Ciobotariu, C. Rotariu, F. Adochiei, and H. Costin, “Wireless Breathing System for Long Term Telemonitoring of Respiratory Activity”, Proceedings of the 7th International Symposium on Advanced Topics in Electrical Engineering, University Politehnica of Bucharest, pp. 635-638, 2011. [3] S. Suzuki, T. Matsui, H. Kawahara et.al, “A non-contact vital sign monitoring system for ambulances using dual-frequency microwave radars”, Med. Biol. Eng. Comput. Vol. 47 pp. 101–105, 2009. [4] D. Wu, L. Wang, Y.T. Zhang, et.al “A Wearable Respiration Monitoring System Based on Digital Respiratory Inductive Plethysmography”, Engineering in Medicine and Biology Society, 2009 pp. 4844 – 4847 [5] S. Cerutti, Anna M. Bianchi, and H. Reiter, “Analysis of sleep and stress profiles from biomedical signal processing in wearable devices”, Available from: http://embc2006.njit.edu/pdf/2010_Cerutti.pdf. [6] C. Rotariu, R. Lupu and G. Vieriu, “A respiration remote monitoring system for sleep disorders detection using wireless low power accelerometer-based devices”, Proceedings of the Conference of the Romanian Society of Medical Informatics (ROMEDINF2012), November 15-17, 2012, Timisoara, Romania [7] Available from: http://focus.ti.com/docs/toolsw/folders/print/ez430-rf2500.htm. [8] J. Pan and W.J. Tompkins, “A real-time QRS detection algorithm,” IEEE Trans. Biomed. Eng., vol. BME-32, 1985, pp. 230-236 [9] P.S. Hamilton, “Open Source ECG Analysis Software”, E. P. Limited, Somerville, Mass, USA, 2002, Available from: http://www.eplimited.com. |