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Data Queuing for Non-uniform Telemedical Reporting

  • Piotr Augustyniak
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

Problems concerning the data queuing in non-uniformly reporting telemedical surveillance systems are investigated in this paper. Unlike the regular systems, where the data continuity is guaranteed by the common reporting interval and unified report content, the adaptive systems must implement a reservation procedure managing the content of every packet in order to proper data delivery, accordingly to sampling rates set individually for each of the diagnostic parameters. In the adaptive interpreting system, the reservation procedure has to consider changes in data flow caused by time-variable requirements for the update rate of the time series of particular diagnostic data. This can be achieved with consideration in the information structure of two auxiliary data parameters, the validity period and the priority. The proposed solution consists in two reporting modes: in immediate mode the diagnostic packets are transmitted immediately accordingly to the time requirements, while in delayed mode the transmission is deferred until packets are filled with valid data. Switching between these modes allows the telediagnostic system to respond in short time in case of emergency, and to limit the usage of data carrier for long-time regular reporting.

Keywords

Diagnostic Parameter Validity Time Reporting Mode Diagnostic Report Report Content 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Atoui, H., Telisson, D., Fayn, J., Rubel, P.: Ambient Intelligence and Pervasive Architecture Designed within the EPI-MEDICS Personal ECG Monitor. International Journal of Healthcare Information Systems and Informatics 3(4), 68–80 (2008)CrossRefGoogle Scholar
  2. 2.
    Augustyniak, P.: Content-Adaptive Signal and Data in Pervasive Cardiac Monitoring. Computers in Cardiology 32, 825–828 (2005)CrossRefGoogle Scholar
  3. 3.
    Augustyniak, P.: Task-dependent adaptability of remote recorder in a cardiac surveillance network. In: World Congress on Bioengineering, pp. 1–4 (2007)Google Scholar
  4. 4.
    Augustyniak, P.: Request-driven ECG interpretation based on individual data validity periods. In: Proc. 30th Conf. IEEE Engineering in Medicine and Biology Society, pp. 3777–3780 (2007)Google Scholar
  5. 5.
    Augustyniak, P.: Validation of automatic ECG processing management in adaptive distributed surveillance system. In: Kurzyński, M., et al. (eds.) Computer Recognition Systems 2, pp. 574–580. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  6. 6.
    Augustyniak, P.: Strategies of Software Adaptation in Home Care Systems. In: Kurzyński, M., Woźniak, M. (eds.) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol. 57, pp. 393–400. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  7. 7.
    Balasz, G., Kozmann, G., Vassanyi, I.: Intelligent Cardiac Telemonitoring System. Computers in Cardiology 31, 745–748 (2004)Google Scholar
  8. 8.
    Banitsas, K.A., Georgiadis, P., Tachakra, S., Cavouras, D.: Using handheld devices for real-time wireless Teleconsultation. In: Proc. 26th Conf. IEEE Engineering in Medicine and Biology Society, pp. 3105–3108 (2004)Google Scholar
  9. 9.
    Bousseljot, R., et al.: Telemetric ECG Diagnosis Follow-Up. Computers in Cardiology 30, 121–124 (2003)Google Scholar
  10. 10.
    Chen, X., Ho, C.T., Lim, E.T., Kyaw, T.Z.: Cellular Phone Based Online ECG Processing for Ambulatory and Continuous Detection. Computers in Cardiology 34, 653–656 (2007)Google Scholar
  11. 11.
    Chiarugi, F., et al.: Continuous ECG Monitoring in the Management of Pre-Hospital Health Emergencies. Computers in Cardiology 30, 205–208 (2003)Google Scholar
  12. 12.
    Fayn, J., et al.: Towards New Integrated Information and Communication Infrastructures in E-Health. Examples from Cardiology. Computers in Cardiology 30, 113–116 (2003)Google Scholar
  13. 13.
    Fischer, R., Zywietz, C.: How to implement SCP (2001), retrieved from http://www.openecg.net
  14. 14.
    Paoletti, M., Marchesi, C.: Low computational cost algorithms for portable ECG monitoring units. In: IFMBE Proc. Medicon, paper 231 (2004)Google Scholar
  15. 15.
    Pinna, G.D., Maestri, R., Gobbi, E., La Rovere, M.T., Scanferlato, J.L.: Home Telemonitoring of Chronic Heart Failure Patients: Novel System Architecture of the Home or Hospital in Heart Failure Study. Computers in Cardiology 30, 105–108 (2003)Google Scholar
  16. 16.
    Puzzuoli, S.: Remote Transmission and Analysis of Signals from Wearable Devices in Sleep Disorders Evaluation. Computers in Cardiology 32, 53–56 (2005)CrossRefGoogle Scholar
  17. 17.
    Telisson, D., Fayn, J., Rubel, P.: Design of a Tele-Expertise Architecture Adapted to Pervasive Multi-Actor Environments. Application to eCardiology. Computers in Cardiology 31, 749–752 (2004)CrossRefGoogle Scholar
  18. 18.
    Willems, J.L.: Common Standards for Quantitative Electrocardiography 10-th CSE Progress Report. ACCO publ., Leuven (1990)Google Scholar
  19. 19.
    Ziecik, P.: Mobile Development Platform for Wide Area ECG Monitoring System. In: Proc. of Biosignal 2008 Conference, paper 72 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Piotr Augustyniak
    • 1
  1. 1.AGH University of Science and TechnologyKrakówPoland

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