The NEPSAC nonlinear predictive controller in a real-life experiment

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Inverse modeling of the respiratory tree using continued fractions expansions

Taking into account the self-similar recursive geometrical structure of the human respiratory tree, the total respiratory impedance can be represented using an integer-order ladder network model. In this paper, the parameters of the respiratory tree are based on clinical insight and morphology. Once the transfer function of the total input impedance model is calculated, it is further interpreted in its continued fraction expansion form. The purpose is to compare the ladder network structure with the continuous fraction expansion form of the impedance. This will help its in understanding the mathematical and morphological basis for constructing a physiology-based simulator of the human lungs

Morphology-based ladder network modeling of the respiratory mechanics

his paper attempts to simulate changes in mechanical properties of lungs trough their equivalent changes in the human respiratory input impedance. The theory of electrical transmission lines and ladder networks is used to develop an equivalent model of the respiratory system. Three typical cases are investigated: healthy, asthma and chronic obstructive pulmonary disease. Simulation results are tested on different types of ladder network cells, such as RC, RLC and various simulating conditions of the whole system. Our conclusion is that an RLC cell gives results which are comparable to real measurements from healthy, asthma, or chronic obstructive pulmonary, disease subjects and changes in the morphology