Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10344994 | Computer Methods and Programs in Biomedicine | 2013 | 14 Pages |
Abstract
The inputs (GEDV, SV, Pao, Ppa) used in the identification process were matched by the CVS model to errors <0.5%. Prediction of the mean ventricular volumes and maximum ventricular pressures not used to fit the model compared experimental measurements to median absolute errors of 4.3% and 4.4%, which are equivalent to the measurement errors of currently used monitoring devices in the ICU (â¼5-10%). These results validate the potential for implementing this approach in the intensive care unit.
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Computer Science
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Authors
James A. Revie, David J. Stevenson, J. Geoffrey Chase, Christopher E. Hann, Bernard C. Lambermont, Alexandre Ghuysen, Philippe Kolh, Geoffrey M. Shaw, Stefan Heldmann, Thomas Desaive,