• DocumentCode
    672008
  • Title

    Patient-specific modeling of ECG representation and Thyroid Hormones Regulation by 3D Visual Membrane Petri Nets

  • Author

    Profir, Aurelia ; Prepelita, Antonio ; Damaschin, Roman ; Prepelita, Laura ; Opinca, Carolina

  • Author_Institution
    Dept. of Comput. Sci., Moldova State Univ., Chisinau, Moldova
  • fYear
    2013
  • fDate
    21-23 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we propose 2 patient-specific models (PSM) elaborated by a 3D Visual Membrane Petri Nets (VMPN) application. Firstly, it was elaborated a PSM of ECG Representation. The initial data for this model are obtained from a 3D model of Myocardial Electrical Activity that simulates depolarization and repolarization waves in heart and allows to record vectorcardiograms (VCGs). A PSM of Thyroid Hormones Regulation elaborated by the 3D VMPN is proposed. Both of these PSMs are parts of an integrated PSM that represents virtual patients. In this paper we propose the idea of the development of a new extension in the framework of Membrane Petri Nets to model tissue-like membrane structures.
  • Keywords
    Petri nets; bioelectric phenomena; biomembranes; electrocardiography; medical signal processing; signal representation; solid modelling; 3D VMPN; 3D model; 3D visual membrane Petri nets; ECG representation; depolarization waves; heart; myocardial electrical activity; patient-specific modeling; repolarization waves; thyroid hormone regulation; tissue-like membrane structures; vectorcardiogram; virtual patients; Computational modeling; Solid modeling; Three-dimensional displays; Vectors; Visualization; ECG; Petri nets; membrane systems; patient-specific modeling; thyroid hormones; tissue-like membrane structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Health and Bioengineering Conference (EHB), 2013
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4799-2372-4
  • Type

    conf

  • DOI
    10.1109/EHB.2013.6707353
  • Filename
    6707353