Abstract
Wearable health-monitoring system requires keeping the balance between energy consuming and user’s real-time service demands with continuous sensing, wireless communication and processing. In this paper, we present a design framework for an Energy Efficient Wearable Health-monitoring System (EEWHMS). EEWHMS uses smartphone as a central unit to process data from wearable sensors, with event-driven energy management strategy to save energy. State transitions and continuous being still of user is used to adjust duty cycle of the system. We present the design, implementation, and evaluation of EEWHMS, which collects user’s information with accelerometer and physiological sensors, and sends it to an Android phone by Bluetooth. According to evaluation of power of Bluetooth chip, CPU load of smartphone and response time when emergency happened, the system demonstrates its capability to keep balance between real time and long term sensing in an energy-efficient manner.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lymperis, A., Dittmar, A.: Advanced Wearable Health Systems and Applications, Research and Development Efforts in the European Union. IEEE Eng. Med. Biol. Mag. 26, 29–33 (2007)
Pantelopoulos, A., Bourbakis, N.G.: Prognosis-a Wearable Health-Monitoring System for People at Risk: Methodology and Modeling. IEEE Transactions on Information Technology in Biomedicine 14, 613–621 (2010)
Anliker, U., Ward, J.A., Lukowicz, P., Troster, G.: AMON: a Wearable Multiparameter Medical Monitoring and Alert System. IEEE Transactions on Information Technology in Biomedicine 8, 415–426 (2004)
Pandian, P.S., Mohanavelu, K., Safeer, K.P., Kotresh, T.M., Shakunthala, D.T., Gopal, P., Padaki, V.C.: Smart Vest: Wearable Multi-parameter Remote Physiological Monitoring System. Med. Eng. Phys. 30, 466–477 (2008)
Lymperis, A., Paradiso, R.: Smart and Interactive Textile Enabling Wearable Personal Applications: R&D State of the Art and Future Challenges. In: Proc. 30th Ann. Int. IEEE EMBS Conf., pp. 5270–5273 (2008)
Pantelopoulos, A., Bourbakis, N.G.: A Survey on Wearable Sensor-based Systems for Health Monitoring and Prognosis. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews 40, 1–12 (2010)
Latre, B., Braem, B., Moerman, I., Blondia, C., Demeester, P.: A Survey on Wireless Body Area Network. Wireless Networks 17, 1–18 (2011)
Lu, H., Yang, J., Liu, Z., Lane, N.D., Choudhury, T., Campbell, A.T.: The Jigsaw Continuous Sensing Engine for Mobile Phone Applications. In: The 8th ACM Conference on Embedded Networked Sensor System (SenSys 2010), pp. 71–84 (2010)
Sundaresan, S., Koren, I., Koren, Z., Krishna, C.M.: Georgia Tech.: Event-driven Adaptive Duty-cycling in Sensor Networks. International Journal of Sensor Networks 6, 89–100 (2009)
Huang, Y., Yang, Y., Cao, J., Ma, X., Tao, X., Lu, J.: Runtime Detection of the Concurrency Property in Asynchronous Pervasive Computing Environments. IEEE Transactions on Parallel and Distributed Systems 23(4), 744–750 (2012)
Wang, Y., Lin, J., Annavaram, M.: A Framework of Energy Efficient Mobile Sensing for Automatic User State Recognition. In: Proceeding of the 7th International Conference on Mobile Systems, Applications, and Services (MobiSys 2009), pp. 1–14 (2009)
Priyantha, B., Lymberopoulos, D., Liu, J.: LittleRock: Enabling Energy-efficient Continuous Sensing on Mobile Phones. Pervasive Computing 10, 12–15 (2010)
Shih, E., Bahl, P., Sinclair, M.J.: Wake on Wireless: an Event Driven Energy Saving Strategy for Battery Operated Devices. In: Proceeding of the 8th Annual International Conference on Mobile Computing and Networking (MobiCom 2002), pp. 106–171 (2002)
Krause, A., Ihmig, M., Rankin, E.: Trading off Prediction Accuracy and Power Consumption for Context-aware Wearable Computing. In: Proceeding of the Ninth IEEE International Symposium on Wearable Computers, pp. 20–26 (2005)
Miluzzo, E., Lane, N., Fodor, K., Peterson, R., Lu, H., Musolesi, M., Eisenman, S., Zheng, X., Campbell, A.: Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application. In: The 10th ACM Conference on Embedded Networked Sensor System (SenSys 2010), pp. 337–350 (2008)
Aghera, P., Rosing, T.B., Fang, D., Patrick, K.: Energy Management in Wireless Healthcare Systems. In: 2009 International Conference on Information Processing in Sensor Networks (IPSN 2009), pp. 363–364 (2009)
Dunkel, J., Fernandez, A., Ortiz, R., Ossowski, S.: Energy-driven Architecture for Decision Support in Traffic Management Systems. Expert Systems with Applications 38, 6530–6539 (2011)
Li, N., Hou, Y., Huang, Z.: A Real-time Algorithm based on Triaxial Accelerometer for the Detection of Human Activity State. In: Proceeding of the 6th International Conference on Body Area Networks (BODYNETS 2011), pp. 103–106 (2011)
Hou, Y., Li, N., Huang, Z.: Triaxial Accelerometer-based Real Time Fall Event Detection. In: International Conference on Information Society, i-Society 2012 (2012)
Yuce, M.R., Ng, S.W.P., Myo, N.L., Lee, C.H., Khan, J.Y., Liu, W.: A MICS Band Wireless Body Sensor Network. In: IEEE Wireless Communications and Networking Conference (WCNC 2007), pp. 2473–2478 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, N., Hou, Y., Huang, Z. (2012). An Event-Driven Energy Efficient Framework for Wearable Health-Monitoring System. In: Huang, R., Ghorbani, A.A., Pasi, G., Yamaguchi, T., Yen, N.Y., Jin, B. (eds) Active Media Technology. AMT 2012. Lecture Notes in Computer Science, vol 7669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35236-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-35236-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35235-5
Online ISBN: 978-3-642-35236-2
eBook Packages: Computer ScienceComputer Science (R0)