ArticleJournal of the mechanical behavior of biomedical materials2013
Pipette aspiration applied to the characterization of nonhomogeneous, transversely isotropic materials used for vocal fold modeling.
Article in Journal of the mechanical behavior of biomedical materials, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 14 citations in OpenAlex.
- Dynamic Biomechanical Analysis of Vocal Folds Using Pipette Aspiration Technique.Sensors (Basel, Switzerland) · 2021Article
- Pipette aspiration testing of soft tissues: the elastic half-space model revisited.Proceedings. Mathematical, physical, and engineering sciences · 2016Article
- Review
- Indentation of poroviscoelastic vocal fold tissue using an atomic force microscope.Journal of the mechanical behavior of biomedical materials · 2013Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
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Abstract
The etiology and treatment of voice disorders are still not completely understood. Since the vibratory characteristics of vocal folds are strongly influenced by both anatomy and mechanical material properties, measurement methods to analyze the material behavior of vocal fold tissue are required. Due to the limited life time of real tissue in the laboratory, synthetic models are often used to study vocal fold vibrations. In this paper we focus on two topics related to synthetic and real vocal fold materials. First, because certain tissues within the human vocal folds are transversely isotropic, a fabrication process for introducing this characteristic in commonly used vocal fold modeling materials is presented. Second, the pipette aspiration technique is applied to the characterization of these materials. By measuring the displacement profiles of stretched specimens that exhibit varying degrees of transverse isotropy, it is shown that local anisotropy can be quantified using a parameter describing the deviation from an axisymmetric profile. The potential for this technique to characterize homogeneous, anisotropic materials, including soft biological tissues such as those found in the human vocal folds, is supplemented by a computational study.
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