• DocumentCode
    1820672
  • Title

    Nonlinear Modeling of Cerebral State Index in Dogs

  • Author

    Bras, Sergio ; Bressan, Nadja ; Ribeiro, Luis ; Ferreira, D.A. ; Antunes, L. ; Nunes, Catarina S.

  • Author_Institution
    Univ. do Porto, Porto
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    537
  • Lastpage
    540
  • Abstract
    The Cerebral State Index (CSI) is an electroencephalogram derived signal representing the depression of central nervous activity produced by anesthetic drugs. In this study, a nonlinear model was developed to describe the CSI tendency during general anesthesia in dogs, by evaluating the effect of the anesthetic drug propofol. The model was based on a compartmental and Hill Equation structure with individually identified parameters. The clinical data of 14 dog surgeries were collected and used for modeling and testing. The model presented good results, following the CSI trend. A model for drug-effect for veterinarian anesthesia is an important step when developing advisory, educational and control systems. The overall aim is to improve animal safety and comfort.
  • Keywords
    drugs; electroencephalography; neurophysiology; nonlinear equations; physiological models; veterinary medicine; zoology; Hill Equation; anesthetic drug propofol; animal safety; central nervous activity depression; cerebral state index; compartmental model; dogs; electroencephalogram; nonlinear modeling; veterinarian anesthesia; Anesthesia; Anesthetic drugs; Animals; Brain modeling; Control system synthesis; Dogs; Nonlinear equations; Safety; Surges; Testing; Anesthesia, Intravenous; Anesthetics, Intravenous; Animals; Cerebrum; Dogs; Electroencephalography; Female; Male; Models, Biological; Monitoring, Intraoperative; Propofol;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352346
  • Filename
    4352346