Effect of the middle ear cavity on the response of the human auditory system

García-González, A.; González-Herrera, Antonio

doi:10.1121/1.4800284

Cited by 3 publications

(8 citation statements)

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“…Some recent numerical models include this acoustic effect ([ 15 , 17 – 19 ]), but even in this case, the condition in which the experiment was made may show significant differences, making the comparison limited. Different conditions on the experiment as the position of the source of sound [ 31 , 32 ] or the presence of cavities open or closed lead to different responses of the same mechanical system.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Mechanical Properties of the Human Tympanic Membrane and Its Influence on the Dynamic Behaviour of the Human Hearing System

Caminos

Garcia-Manrique

Lima-Rodriguez

et al. 2018

Applied Bionics and Biomechanics

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The difficulty to estimate the mechanical properties of the tympanic membrane (TM) is a limitation to understand the sound transmission mechanism. In this paper, based on finite element calculations, the sensitivity of the human hearing system to these properties is evaluated. The parameters that define the bending stiffness properties of the membrane have been studied, specifically two key parameters: Young's modulus of the tympanic membrane and the thickness of the eardrum. Additionally, it has been completed with the evaluation of the presence of an initial prestrain inside the TM. Modal analysis is used to study the qualitative characteristics of the TM comparing with vibration patterns obtained by holography. Higher-order modes are shown as a tool to identify these properties. The results show that different combinations of elastic properties and prestrain provide similar responses. The presence of prestrain at the membrane adds more uncertainty, and it is pointed out as a source for the lack of agreement of some previous TM elastic modulus estimations.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Mechanical Properties of the Human Tympanic Membrane and Its Influence on the Dynamic Behaviour of the Human Hearing System

Caminos

Garcia-Manrique

Lima-Rodriguez

et al. 2018

Applied Bionics and Biomechanics

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“…Details of sample preparation and use of the software are described in 19 . For the EC and TC, we will use a simplified geometries previously used by our research group in other works 22–25 …”

Section: Methodsmentioning

confidence: 99%

“…It has been developed from precedent works 6–8,10–12,26–28 . In some case the own methodology has been object of our study 22,23,25–29 . Key aspects have been studied and adjusted to achieve a model representative of the auditory system.…”

Section: Methodsmentioning

confidence: 99%

“…19 For the EC and TC, we will use a simplified geometries previously used by our research group in other works. [22][23][24][25] Due to the high levels of precision that Micro-CT provides currently, the geometric data of ME, is detailed in excess for the purpose of FE modeling and computation. It increases the computational cost without a clear advantage on the quality of the results.…”

Section: Algorithm: General Issuesmentioning

confidence: 99%

“…[6][7][8][10][11][12][26][27][28] In some case the own methodology has been object of our study. 22,23,[25][26][27][28][29] Key aspects have been studied and adjusted to achieve a model representative of the auditory system. Linear elastic material behavior was assumed in this study.…”

Section: Fem: General Issuesmentioning

confidence: 99%

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Semi‐automatic algorithm to build finite element numerical models of the human hearing system from Micro‐CT data

Caminos,

Chaves,

Garcia‐Manrique

et al. 2024

Numer Methods Biomed Eng

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Finite Element modeling has been an extended methodology to build numerical model to simulate the behavior of the hearing system. Due to the complexity of the system and the difficulties to reduce the uncertainties of the geometric data, they result in computationally expensive models, sometimes generic, representative of average geometries. It makes it difficult to validate the model with direct experimental data from the same specimen or to establish a patient‐oriented modeling strategy. In the present paper, a first attempt to automatize the process of model building is made. The source information is geometrical information obtained from CT of the different elements that compose the system. Importing that data, we have designed the complete procedure to build a model including tympanic membrane, ossicular chain and cavities. The methodology includes the proper coupling of all the elements and the generation of the corresponding finite element model. The whole automatic procedure is not complete, as we need to make some human‐assisted decisions; however, the model development time is reduced from 4 weeks to approximately 3 days. The goal of the modeling algorithm is to build a Finite Element Model with a limited computational cost. Several tasks as contour identification or model decimation are designed and integrated in order to follow a semi‐automated process that allows generating a patient‐oriented model.

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Measuring Absorbed Energy in the Human Auditory System Using Finite Element Models: A Comparison with Experimental Results

Garcia-Gonzalez,

Castro-Egler,

Aguilera-Garcia

et al. 2023

Preprint

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here are different ways to analyse energy absorbance (EA) in the human auditory system. In previous research, we developed a complete finite element model (FEM) of the human auditory system. In this mentioned work, the external auditory canal (EAC), middle ear, and inner ear (spiral cochlea, vestibule, and semi-circular canals) were modelled based on human temporal bone histological sections. Multiple acoustic, structure and fluid-coupled analyses were conducted using the FEM to perform harmonic analyses in the 0.1–10 kHz range. Once the FEM had been validated with published experimental data, the FEM numerical results were used to calculate the EA or energy reflected (ER) by the tympanic membrane. This EA was also measured in clinical audiology tests which were used as a diagnostic parameter. A mathematical approach was developed to calculate the EA and ER, with numerical and experimental results showing adequate correlation up to 1 kHz. Another published FEM had adapted its boundary conditions to replicate experimental results. Here, we recalculated those numerical results by applying the natural boundary conditions of human hearing and found that the results almost totally agreed with our FEM. This boundary problem is frequent and problematic in experimental hearing test protocols: the more invasive they are, the more the results are affected. One of the main objectives of using FEMs is to explore how the experimental test conditions influence the results. Further work will still be required to uncover the relationship between the middle ear structure and EA to clarify how to best use FEMs. Moreover, the FEM boundary conditions must be more representative in future work to ensure their adequate interpretation.

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Effect of the middle ear cavity on the response of the human auditory system

Cited by 3 publications

References 0 publications

Analysis of the Mechanical Properties of the Human Tympanic Membrane and Its Influence on the Dynamic Behaviour of the Human Hearing System

Analysis of the Mechanical Properties of the Human Tympanic Membrane and Its Influence on the Dynamic Behaviour of the Human Hearing System

Semi‐automatic algorithm to build finite element numerical models of the human hearing system from Micro‐CT data

Measuring Absorbed Energy in the Human Auditory System Using Finite Element Models: A Comparison with Experimental Results

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