Abstract
Abstract In this work we present a four compartment mathematical lung model to simulate the local gas exchange based on electrical impedance tomography (EIT) input. The model simulates the local and global time course of the volume, the gas fraction in the alveoli and the arterial partial pressure. The regional information about the distribution of ventilation and perfusion is extracted from EIT data. In order to illustrate the suitability of this approach, an ARDS patient is simulated. The results show good agreement with measurement data for large portions of the time and seem promising e.g. for the use in medical decision support systems.
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