Model-based analysis of respiratory mechanics for diagnosis of cardiopulmonary diseases

Ngo Nguyen, Hoang Chuong; Leonhardt, Steffen (Thesis advisor); de Jongh, F. (Thesis advisor); Tenbrock, Klaus (Thesis advisor)

Aachen (2019)
Dissertation / PhD Thesis

Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2019

Abstract

The maintenance of respiratory function is fundamental to human survival. Disorders of the respiratory system can lead to serious physiological damage. Pulmonary diseases are typically divided into obstructive and restrictive disorders, which are being investigated in this work with a focus on chronic obstructive pulmonary disease, bronchial asthma, and cardiac pulmonary edema. In this work, an object-oriented physiological model of the human respiratory system was developed for the analysis of lung diseases and various methods of pulmonary function diagnostics. The approach of non-linear compartment modeling was followed. The developed model offers a new possibility for the model-based analysis of lung mechanics, which enables the re-evaluation of conventional lung function diagnostics measurement methods. To model cardiopulmonary diseases, the model has been expanded to include the cardiovascular system and the fluid balance of the lung. For model validation, simulation results were compared with the clinical data published in the literature. Finally, the work discussed the potential use of electrical impedance tomography (EIT) for the assessment of regional lung mechanics. It has been shown experimentally that the linearity of the EIT is largely ensured during a Tiffeneau test, and the flux-volume curve known from spirometry can be detected and used with the EIT.

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