• DocumentCode
    1741194
  • Title

    The limits of heart-model-based computerized ECG diagnosis

  • Author

    Szilágyi, Saádor M.

  • Author_Institution
    Dept. of Process Control & Inf. Theory, Tech. Univ. Budapest, Hungary
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1913
  • Abstract
    Nowadays the most important health problem affecting large groups of people is related to malfunctions of the heart, usually caused by heart attack, rhythm disturbances and pathological degeneration. The main goal is to predict this kind of tragic event, and by identifying the patients situated in the most dangerous states, it is possible to apply a preventative therapy. This paper presents the description of the heart´s function using a mathematical model, in order to recognize the dangerous states. The developed system applies three different models to obtain the diagnostics: a cell model, heart model, and chest model. The development of these models is not finished yet. Because the computerized “understanding” and simulation of these physiological processes require lots of unknown parameters, it is suitable to apply stochastic processing methods. The methods refer to several physiological problems, such as the contraction of the heart, respiration, state of the patient, etc
  • Keywords
    electrocardiography; fuzzy logic; medical expert systems; medical signal processing; multi-agent systems; physiological models; adaptive neuro-fuzzy logic; cell model; chest model; computerized ECG diagnosis; error detection; heart contraction; heart-model-based diagnosis; ion channels; mathematical model; multi-agent systems; respiration; stochastic processing methods; Cardiac arrest; Computational modeling; Computer simulation; Electrocardiography; Heart; Mathematical model; Medical treatment; Pathology; Rhythm; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.900465
  • Filename
    900465