• DocumentCode
    2410880
  • Title

    Critiquing treatment and setting ventilatory parameters by using physiological modeling

  • Author

    Tehrani, Fleur T.

  • Author_Institution
    Dept. of Electr. Eng., California State Univ., Fullerton, CA, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    286
  • Lastpage
    288
  • Abstract
    A modeling system is presented that can be used to predict the effects of ventilatory settings on the blood gases of patients on mechanical ventilation. The system uses a physiological model of the patient that includes lungs, body tissue, and brain tissue compartments. The model includes the effects of changes in the cardiac output and cerebral blood flow and lung mechanical factors. The system has applications in critiquing different treatment options and can be used alone or in combination with decision support systems to set ventilatory parameters and optimize treatment for patients on mechanical ventilation.
  • Keywords
    brain; cardiology; decision support systems; haemodynamics; lung; medical computing; neurophysiology; orthotics; patient treatment; physiological models; respiratory protection; ventilation; blood gases; body tissue; brain tissue compartments; cardiac output; cerebral blood flow; computerized system; decision support systems; lung mechanical factors; mechanical ventilation; patient treatment; physiological modeling system; ventilatory parameter setting; Mechanical Ventilation; decision support systems; physiological modeling; Computer Simulation; Humans; Lung; Models, Biological; Pulmonary Ventilation; Respiration, Artificial; Respiratory Mechanics; Therapy, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5334495
  • Filename
    5334495