Physical parameter estimation from porcine ex vivo vocal fold dynamics in an inverse problem framework

Gómez P, Schützenberger A, Kniesburges S, Bohr C, Döllinger M (2017)

Publication Type: Journal article

Publication year: 2017

Journal

DOI: 10.1007/s10237-017-0992-5

Abstract

This study presents a framework for a direct comparison of experimental vocal fold dynamics data to a numerical two-mass-model (2MM) by solving the corresponding inverse problem of which parameters lead to similar model behavior. The introduced 2MM features improvements such as a variable stiffness and a modified collision force. A set of physiologically sensible degrees of freedom is presented, and three optimization algorithms are compared on synthetic vocal fold trajectories. Finally, a total of 288 high-speed video recordings of six excised porcine larynges were optimized to validate the proposed framework. Particular focus lay on the subglottal pressure, as the experimental subglottal pressure is directly comparable to the model subglottal pressure. Fundamental frequency, amplitude and objective function values were also investigated. The employed 2MM is able to replicate the behavior of the porcine vocal folds very well. The model trajectories' fundamental frequency matches the one of the experimental trajectories in [Formula: see text] of the recordings. The relative error of the model trajectory amplitudes is on average [Formula: see text]. The experiments feature a mean subglottal pressure of 10.16 (SD [Formula: see text]) [Formula: see text]; in the model, it was on average 7.61 (SD [Formula: see text]) [Formula: see text]. A tendency of the model to underestimate the subglottal pressure is found, but the model is capable of inferring trends in the subglottal pressure. The average absolute error between the subglottal pressure in the model and the experiment is 2.90 (SD [Formula: see text]) [Formula: see text] or [Formula: see text]. A detailed analysis of the factors affecting the accuracy in matching the subglottal pressure is presented.

Authors with CRIS profile

Involved external institutions

Universität Regensburg Germany (DE)

How to cite

APA:

Gómez, P., Schützenberger, A., Kniesburges, S., Bohr, C., & Döllinger, M. (2017). Physical parameter estimation from porcine ex vivo vocal fold dynamics in an inverse problem framework. Biomechanics and Modeling in Mechanobiology. https://doi.org/10.1007/s10237-017-0992-5

MLA:

Gómez, Pablo, et al. "Physical parameter estimation from porcine ex vivo vocal fold dynamics in an inverse problem framework." Biomechanics and Modeling in Mechanobiology (2017).

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