Quality-Driven Continuous Adaptiation of ECG Interpretation in a Distributed Surveillance System

  • Piotr Augustyniak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5097)


Principal rules defining the adaptation of ECG interpretation software in a distributed surveillance network are presented in this paper. Thanks to the pervasive access to wireless digital communication services, the intelligent monitoring networks automatically solve difficult medical cases thanks to the auto-adaptation of data interpretation and transmission to the variable patient status and technical constrains. The foundation of this innovative approach is the use of selected diagnostic parameters in a loopback modifying the running interpretive software. The auto adaptive process maximizes the general estimate of patient description quality aggregating the divergence values of particular parameters modulated by the medical relevance factor dependent on the status of patient. Our approach is motivated by the outcomes from the research on human experts behavior, statistics of the procedures reliability and usage as well as tests in a prototype client-server application. The tests yielded very promising results: the convergence of the remotely computed diagnostic outcome was achieved in over 80% of software adaptation attempts. Comparing to the rigid reporting mode, avoiding unnecessary computation extends the autonomy time by 65% and the transmission channel occupation was reduced by 3,1 to 5,6 times.


Diagnostic Parameter Unnecessary Computation Report Content Remote Resource Remote Interpretation 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Aldroubi, A., Feichtinger, H.: Exact iterative reconstruction algorithm for multivariate irregularly sampled functions in spline-like spaces: the Lp theory. Proc. Amer. Math. Soc. 126(9), 2677–2686 (1998)zbMATHCrossRefMathSciNetGoogle Scholar
  2. 2.
    Augustyniak, P.: Adaptive Discrete ECG Representation - Comparing Variable Depth Decimation and Continuous Non-Uniform Sampling. Computers in Cardiology 29, 165–168 (2002)Google Scholar
  3. 3.
    Augustyniak, P.: How a Human Perceives the Electrocardiogram: The Pursuit of Information Distribution through Scanpath Analysis. Computers in Cardiology 30, 601–604 (2003)CrossRefGoogle Scholar
  4. 4.
    Augustyniak, P., Tadeusiewicz, R.: Investigation of Human Interpretation Process Based on Eyetrack Features of Biosignal Visual Inspection. In: IEEE 27-th Annual IEEE-EMBS Conference, paper nr 89 (2005)Google Scholar
  5. 5.
    Augustyniak, P.: Content-Adaptive Signal and Data in Pervasive Cardiac Monitoring. Proc. Computers in Cardiology 32, 825–828 (2005a)Google Scholar
  6. 6.
    Balasz, G., Kozmann, G., Vassanyi, I.: Intelligent Cardiac Telemonitoring System. Computers in Cardiology 31, 745–748 (2004)Google Scholar
  7. 7.
    Banitsas, K.A., Georgiadis, P., Tachakra, S., Cavouras, D.: Using handheld devices for real-time wireless Teleconsultation. In: Proc. 26th Conf. IEEE EMBS, pp. 3105–3108 (2004)Google Scholar
  8. 8.
    Bar-Or, A., Healey, J., Kontothanassis, L., Van Thong, J.M.: BioStream: A system architecture for real-time processing of physiological signals. In: Proc. 26th Conf. IEEE EMBS, pp. 3101–3104 (2004)Google Scholar
  9. 9.
    Bousseljot, R., et al.: Telemetric ECG Diagnosis Follow-Up. Computers in Cardiology 30, 121–124 (2003)CrossRefGoogle Scholar
  10. 10.
    CardioSoft, Version 6.0 Operator’s Manual. GE Medical Systems Information Technologies, Inc. Milwaukee (2005)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)CrossRefGoogle Scholar
  12. 12.
    DRG, MediArc Premier IV Operator’s Manual version 2.2 (1995)Google Scholar
  13. 13.
    Fayn, J., et al.: Towards New Integrated Information and Communication Infrastructures in E-Health. Examples from Cardiology. Computers in Cardiology 30, 113–116 (2003)CrossRefGoogle Scholar
  14. 14.
    Gonzalez, R., Jimenez, D., Vargas, O.: WalkECG: A Mobile Cardiac Care Device. Computers in Cardiology 32, 371–374 (2005)CrossRefGoogle Scholar
  15. 15.
    HP, M1700A Interpretive Cardiograph Physician’s Guide ed. 4. Hewlett-Packard (1994)Google Scholar
  16. 16.
    IBM, Electrocardiogram Analysis Program Physician’s Guide (5736-H15) 2nd edn. (1974)Google Scholar
  17. 17.
    IEC, 60601-2-47. Medical electrical equipment: Particular requirements for the safety, including essential performance, of ambulatory electrocardiographic systems (2001)Google Scholar
  18. 18.
    Korsakas, S., et al.: Electrocardiosignals and Motion Signals Telemonitoring and Analysis System for Sportsmen. Computers in Cardiology 32, 363–366 (2005)CrossRefGoogle Scholar
  19. 19.
    Macfarlane, P.W., Devine, B., Clark, E.: The University of Glasgow (Uni-G) ECG Analysis Program. Computers in Cardiology 32, 451–454 (2005)CrossRefGoogle Scholar
  20. 20.
    Nihon Kohden, ECAPS-12C User Guide: Interpretation Standard revision A (2001)Google Scholar
  21. 21.
    Paoletti, M., Marchesi, C.: Low computational cost algorithms for portable ECG monitoring units IFMBE Proc. Medicon paper 231 (2004)Google Scholar
  22. 22.
    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)CrossRefGoogle Scholar
  23. 23.
    Puzzuoli, S.: Remote Transmission and Analysis of Signals from Wearable Devices in Sleep Disorders Evaluation. Computers in Cardiology 32, 53–56 (2005)CrossRefGoogle Scholar
  24. 24.
    Straszecka, E., Straszecka, J.: Uncertainty and imprecision representation in medical diagnostic rules, IFMBE Proc, Medicon, paper 172 (2004)Google Scholar
  25. 25.
    Tadeusiewicz, R., Augustyniak, P.: Information Flow and Data Reduction in the ECG Interpretation Process. In: IEEE 27 Annual EMBS Conf., paper 88 (2005)Google Scholar
  26. 26.
    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)Google Scholar
  27. 27.
    Willems, J.L.: Common Standards for Quantitative Electrocardiography 10-th CSE Progress Report, ACCO publ., Leuven (1990)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

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

Personalised recommendations