Title :
A Theoretical Study on Modeling the Respiratory Tract With Ladder Networks by Means of Intrinsic Fractal Geometry
Author :
Ionescu, Clara Mihaela ; Muntean, Ionut ; Tenreiro-Machado, J.A. ; De Keyser, Robin ; Abrudean, Mihail
Author_Institution :
Dept. of Electr. Energy, Syst. & Autom., Ghent Univ., Ghent, Belgium
Abstract :
Fractional order modeling of biological systems has received significant interest in the research community. Since the fractal geometry is characterized by a recurrent structure, the self-similar branching arrangement of the airways makes the respiratory system an ideal candidate for the application of fractional calculus theory. To demonstrate the link between the recurrence of the respiratory tree and the appearance of a fractional-order model, we develop an anatomically consistent representation of the respiratory system. This model is capable of simulating the mechanical properties of the lungs and we compare the model output with in vivo measurements of the respiratory input impedance collected in 20 healthy subjects. This paper provides further proof of the underlying fractal geometry of the human lungs, and the consequent appearance of constant-phase behavior in the total respiratory impedance.
Keywords :
biomechanics; fractals; ladder networks; lung; physiological models; trees (mathematics); airway self similar branching arrangement; biological systems; fractional calculus theory; fractional order modeling; human lung fractal geometry; intrinsic fractal geometry; ladder networks; lung mechanical properties; respiratory input impedance; respiratory system model; respiratory tract modeling; respiratory tree recurrence; total respiratory impedance constant phase behavior; Biological system modeling; Biological systems; Fractals; Fractional calculus; Geometry; Impedance; Lungs; Mechanical factors; Respiratory system; Solid modeling; Fractal structure; fractional calculus; frequency domain; input impedance; ladder network; respiratory system; Computer Simulation; Fractals; Humans; Models, Biological; Reproducibility of Results; Respiratory Physiological Phenomena;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2030496