• DocumentCode
    2124705
  • Title

    Introduction of computational models to PhysioNet

  • Author

    Mukkamala, R. ; Moody, GB ; Mark, RG

  • Author_Institution
    Div. of Health Sci. & Technol., Harvard-MIT, Cambridge, MA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    PhysioNet is a national research resource that provides experimental data sets and open-source software for their analysis. Computational modeling can complement studies of these experimental data sets so as to facilitate the advancement of physiologic research. Thus, in order to introduce computational models to PhysioNet, we have developed and posted a cardiovascular model designed for research that generates reasonable human pulsatile hemodynamic waveforms, cardiac output and venous return curves, and beat-to-beat variability. Some of the key features of the software include: 1) compatibility with PhysioNet´s open-source data analysis software; 2) online viewing and parameter updating as the data are being calculated; 3) off-line viewing after completion of the simulation; 4) pre-compiled Linux binaries; 5) open-source code that may be compiled on other platforms; and 6) an extensive user´s manual and software guide
  • Keywords
    cardiovascular system; digital simulation; medical computing; physiological models; PhysioNet; beat-to-beat variability; cardiac output; cardiovascular model; computational modeling; experimental data sets; human pulsatile hemodynamic waveforms; off-line viewing; online parameter updating; online viewing; open-source data analysis software; open-source software; pre-compiled Linux binaries; venous return curves; Biomedical computing; Cardiology; Computational modeling; Data analysis; Education; Humans; Open source software; Physiology; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2001
  • Conference_Location
    Rotterdam
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7266-2
  • Type

    conf

  • DOI
    10.1109/CIC.2001.977595
  • Filename
    977595