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    Cardiovascular Modelling and Identification in Septic Shock - Experimental validation

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    12612085_Cardiovascular modelling talk.pdf (4.155Mb)
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    Author
    Desaive, T.
    Lambermont, B.
    Ghuysen, A.
    Kolh, P.
    Dauby, P.C.
    Starfinger, C.
    Hann, C.E.
    Chase, J.G.
    Shaw, G.M.
    Date
    2008
    Permanent Link
    http://hdl.handle.net/10092/2377

    Cardiovascular disturbances are difficult to diagnose and treat because of the large range of possible underlying dysfunctions combined with regulatory reflex mechanisms that can result in conflicting clinical data. A cardiovascular system (CVS) model and patient specific parameter identification method could better aggregate the clinical data into a more direct and simpler form for clinicians. A previously developed model and parameter identification method is improved to accurately capture physiological response to septic shock under continuous hemofiltration, further confirming the potential for using this model-based approach in critical care. Clinical data is matched with mean absolute errors less than 8% and the optimized parameters closely follow a previous study using significantly more invasive procedures and measurements.

    Subjects
    Fields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321003 Cardiology (incl. cardiovascular disease)
     
    Fields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321009 Intensive care
     
    Fields of Research::290000 Engineering and Technology::291500 Biomedical Engineering
    Collections
    • Engineering: Conference Contributions [2012]
    Rights
    https://hdl.handle.net/10092/17651

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