| Autor: |
HEAVNER, EMILY, MUELLER, JENNIFER L., MCFANN, KIM, DUNN, JULIE, ALNACHOUKATI, OMAR, MOHNIKE, COREY |
| Předmět: |
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| Zdroj: |
Applied Mathematics for Modern Challenges; Sep2024, Vol. 2 Issue 3, p262-286, 25p |
| Abstrakt: |
This work provides a method of estimating airway resistance along the bronchial tree in mechanically ventilated patients from time dependent lung volume data from the ventilator. A multi-compartment lung model is developed based on an analogy between electric circuits and the human lungs. A constrained linear least squares optimization method is formulated to solve the inverse problem of estimating the vector of airway resistance values in the alveolar tree with lung volume, compliance, and applied pressure as inputs. The outputs of the model are compared to data from the mechanical ventilator from 32 hospitalized ARDS patients, 12 of which had COVID-19. The solution of the inverse problem resulted in airway resistance vectors consistent with those in the literature, and time dependent lung volume estimates in good agreement with the the ventilator data. No statistically significant difference was found in the resistance vectors from patients with and without COVID-19. However, maximum and minimum pressures and compliance values were found to be of statistically significant difference. The method presented here holds promise for determining the airway resistance along the tree, and could be further developed with the aid of imaging. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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