Literature DB >> 18177151

Middle-ear circuit model parameters based on a population of human ears.

Kevin N O'Connor1, Sunil Puria.   

Abstract

Middle-ear circuit model parameters are selected to produce overall magnitude and phase agreement with pressure to stapes velocity transfer function measurements made on 16 human temporal bones, up to approximately 12 kHz. The circuit model, which was previously used for the cat, represents the tympanic membrane (TM) as a distributed parameter acoustic transmission line, and ossicular chain and cochlea as a network of lumped circuit elements. For some ears the TM transmission line primarily affects the magnitude of the response, while for others it primarily affects the phase. Model responses also compare favorably with velocity ratio data between the umbo and stapes footplate as well as between the umbo and incus, and exhibit similar characteristics to three previous input impedance measurements, including two from living ears. Similarities are also shown between the model magnitude and adjusted pressure to stapes velocity measurements from living ears, suggesting that the model may suitably approximate the behavior of living ears. In addition to fitting individual measurements, a set of parameters is selected to produce agreement with the mean of the 16 measurements up to 10 kHz, to allow the main features of the ensemble to be reproduced from a single parameter set.

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Year:  2008        PMID: 18177151     DOI: 10.1121/1.2817358

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  24 in total

1.  Non-invasive estimation of middle-ear input impedance and efficiency.

Authors:  James D Lewis; Stephen T Neely
Journal:  J Acoust Soc Am       Date:  2015-08       Impact factor: 1.840

2.  The path of a click stimulus from ear canal to umbo.

Authors:  Mario Milazzo; Elika Fallah; Michael Carapezza; Nina S Kumar; Jason H Lei; Elizabeth S Olson
Journal:  Hear Res       Date:  2017-01-11       Impact factor: 3.208

3.  Ossicular resonance modes of the human middle ear for bone and air conduction.

Authors:  Kenji Homma; Yu Du; Yoshitaka Shimizu; Sunil Puria
Journal:  J Acoust Soc Am       Date:  2009-02       Impact factor: 1.840

4.  An analysis of the acoustic input impedance of the ear.

Authors:  Robert H Withnell; Lauren E Gowdy
Journal:  J Assoc Res Otolaryngol       Date:  2013-08-06

5.  The Effect of Ear Canal Orientation on Tympanic Membrane Motion and the Sound Field Near the Tympanic Membrane.

Authors:  Jeffrey Tao Cheng; Michael Ravicz; Jérémie Guignard; Cosme Furlong; John J Rosowski
Journal:  J Assoc Res Otolaryngol       Date:  2015-04-25

6.  Tympanic membrane surface motions in forward and reverse middle ear transmissions.

Authors:  Jeffrey Tao Cheng; Nima Maftoon; Jérémie Guignard; Michael E Ravicz; John Rosowski
Journal:  J Acoust Soc Am       Date:  2019-01       Impact factor: 1.840

7.  Wave motion on the surface of the human tympanic membrane: holographic measurement and modeling analysis.

Authors:  Jeffrey Tao Cheng; Mohamad Hamade; Saumil N Merchant; John J Rosowski; Ellery Harrington; Cosme Furlong
Journal:  J Acoust Soc Am       Date:  2013-02       Impact factor: 1.840

8.  Human middle-ear model with compound eardrum and airway branching in mastoid air cells.

Authors:  Douglas H Keefe
Journal:  J Acoust Soc Am       Date:  2015-05       Impact factor: 1.840

9.  Full-field transient vibrometry of the human tympanic membrane by local phase correlation and high-speed holography.

Authors:  Ivo Dobrev; Cosme Furlong; Jeffrey T Cheng; John J Rosowski
Journal:  J Biomed Opt       Date:  2014-09       Impact factor: 3.170

10.  Effects of ear-canal pressurization on middle-ear bone- and air-conduction responses.

Authors:  Kenji Homma; Yoshitaka Shimizu; Namkeun Kim; Yu Du; Sunil Puria
Journal:  Hear Res       Date:  2009-11-26       Impact factor: 3.208

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