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Integration of Bio-sensing with Information and Communication to Provide Improved Health-Care Services

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 181)

Abstract

This paper demonstrates the use of remote monitoring and processing to fine tune the measurements taken from the medical sensing devices. We demonstrated this with the help of use case related to glucose monitoring, however this method could be extended to other devices as well. Based on the technical requirement of signal transmission, the analysis for various communication protocols to provide these services is also investigated. A novel data mining technique is used to process the signals taken from the patient on the server side to improve the accuracy. Overall, the feasibility of the improved accuracy is experimented and demonstrated at the end. This paper exhibits the end-to-end solution for the given use case.

Keywords

BAN Bio-sensing Signal Processing 

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References

  1. 1.
    Yang, G.: Body Sensor Networks. Spring Science+Business Media, MA (2006)CrossRefGoogle Scholar
  2. 2.
    IEEE 802.15 WPANTM Task Group 6 (TG6) Body Area Networks, http://www.ieee802.org/15/pub/TG6.html
  3. 3.
    Hayn, D., Jammerbund, B., Kollmann, A., Schreier, G.: A Biosignal Analysis System Applied for Developing an Algorithm Predicting Critical Situations of High Risk Cardiac Patients by Hemodynamic Monitoring. In: Computers in Cardiology, USA, pp. 623–632 (2009)Google Scholar
  4. 4.
  5. 5.
    Heller, A., Feldman, B.: Electrochemical glucose sensors and their applications in diabetes management. Chem. Rev. 108, 2482–2505 (2008)CrossRefGoogle Scholar
  6. 6.
    Wang, J.: Electrochemical glucose biosensors. Chem. Rev. 108, 814–825 (2008)CrossRefGoogle Scholar
  7. 7.
    Huynh, H.T., Kim, J.J., Won, Y.: Non-linear estimation methods for hematocrit density based on changing pattern of transduced anodic current curve. Wseas. Trans. Inf. Sci. App. 5, 1541–1550 (2008)Google Scholar
  8. 8.
    Howitt, I., Gutierrez, J.A.: IEEE802.15.4 low rate-wireless personal area network coexistence issues. Wireless Communications and Networking 3, 1481–1486 (2003)Google Scholar
  9. 9.
  10. 10.
    Kushalnagar, N., Montenegro, G., Schumacher, C.: rfc4919 - 6LoWPANs (2007)Google Scholar
  11. 11.
    Kwak, K.S., Ullah, S., Ullah, N.: An Overview of IEEE 802.15.6 Standard. In: Proceedings of the ISABEL, Italy, pp. 1–6 (2010)Google Scholar
  12. 12.
    Shnayder, V., Chen, B., Lorincz, K., Fulford-Jones, T.R.F., Welsh, M.: Sensor Networks for Medical Care, In: Technical Report TR-08-05, Division of Engineering and Applied Sciences, Harvard University (2005)Google Scholar
  13. 13.
    Patel, M., Wang, J.: Applications: Challenges, and perspectiv in emerging body area networking technologies. IEEE Wireless Communications 17, 80–88 (2010)CrossRefGoogle Scholar
  14. 14.
    Pantelopoulos, A., Baourbakis, 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)CrossRefGoogle Scholar
  15. 15.
    Kollmann, A., Riedl, M., Kastner, P., Schreier, G., Ludvik, B.: Feasibility of a Mobile Phone-based Data Service for Functional Insulin Treatment of Type 1 Diabetes Mellitus Patients. J. Med. Internet Res. 9(5), e36 (2007)CrossRefGoogle Scholar
  16. 16.
    Ali, S.M.U., Aijazi, T., Axelsson, K., Nur, O., Willander, M.: Wireless Remote Monitoring of Glucose Using a Functionalized ZnO Nanowire Arrays Based Sensor. Sensors 11, 8485–8496 (2011)CrossRefGoogle Scholar
  17. 17.
    Sparacino, G., Facchinetti, A., Cobelli, C.: Smart Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues. Sensors 10, 6751–6772 (2010)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Suman Pandey
    • 1
  • Pawan K. Tiwari
    • 2
  • Tae-Young Byun
    • 1
  1. 1.School of Information TechnologyCatholic University of DaeguGyeongsanRep. of Korea
  2. 2.Department of Biomedical EngineeringCatholic University of DaeguGyeongsanRep. of Korea

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