Abstract
Routine application of ‘rule of thumb’ parameter sets in clinical practice pushes model visions to the background, including the complete framework of assumptions, simplifications, suppositions and conditions. But: models can be a very strong tool, when applied selectively — that means, with a clear idea of destination, definition, parameter selection and verification.
This article discusses universal issues of modelling — based on ventilation mechanics models in intensive care medicine.
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Abbreviations
- AIC:
-
AKAIKE's information theoretic criterion
- ARX:
-
auto regressive model with external input
- C:
-
compliance
- E:
-
elastance
- EX:
-
expiratory
- FPE:
-
final prediction error
- IN:
-
inspiratory
- LMS:
-
least mean squares method
- R:
-
resistance
- s2 :
-
dispersion
- P, V, V′:
-
pressure, volume and flow at airway opening
- PCV:
-
pressure controlled ventilation
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Morgenstern, U., Kaiser, S. Mathematical modelling of ventilation mechanics. J Clin Monit Comput 12, 105–112 (1995). https://doi.org/10.1007/BF01142492
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DOI: https://doi.org/10.1007/BF01142492