Open Access
| Issue |
BIO Web Conf.
Volume 200, 2025
Biology, Health & Artificial Intelligence Conference (BHAI 2025)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/bioconf/202520001014 | |
| Published online | 05 December 2025 | |
- M. K. Brummund, F. Sgard, Y. Petit, F. Laville, and H. Nélisse, “An Axisymmetric Finite Element Model to Study the Earplug Contribution to the Bone Conduction Occlusion Effect,” Acta Acustica united with Acustica, vol. 101, no. 4, pp. 775–788, Jul. 2015, doi: 10.3813/AAA.918872. [Google Scholar]
- F. Sgard, “A 2D axisymmetric finite element model to assess the contribution of in-ear hearing protection devices to the objective occlusion effect”. [Google Scholar]
- G. Viallet, F. Sgard, F. Laville, and J. Boutin, “Axisymmetric versus three-dimensional finite element models for predicting the attenuation of earplugs in rigid walled ear canalsa),” J. Acoust. Soc. Am., vol. 134, no. 6, pp. 4470–4480, Dec. 2013, doi: 10.1121/1.4826182. [Google Scholar]
- T. Koike, H. Wada, and T. Kobayashi, “Modeling of the human middle ear using the finite-element method,” J. Acoust. Soc. Am., vol. 111, no. 3, pp. 1306–1317, Mar. 2002, doi: 10.1121/1.1451073. [Google Scholar]
- Q. Sun, K.-H. Chang, K. J. Dormer, R. K. Dyer, and R. Z. Gan, “An advanced computer-aided geometric modeling and fabrication method for human middle ear,” Medical Engineering & Physics, vol. 24, no. 9, pp. 595–606, Nov. 2002, doi: 10.1016/S1350-4533(02)00045-0. [Google Scholar]
- R. Z. Gan, B. Feng, and Q. Sun, “Three-Dimensional Finite Element Modeling of Human Ear for Sound Transmission,” Ann. Biomed. Eng., vol. 32, no. 6, pp. 847–859, Jun. 2004, doi: 10.1023/B:ABME.0000030260.22737.53. [Google Scholar]
- S. Elghanaoui, S. Assif, A. Faiz, and A. Hajjaji, “Numerical Modeling of Sound Transmission in the Human Ear Using Finite Element Analysis: Integration of Lumped-Parametric Model,” in Proceedings of the 6th International Conference on Advanced Materials for Photonics, Sensing, and Energy Applications, Y. Boughaleb, A. Hajjaji, E.-K. Hlil, and S. Laasri, Eds., Singapore: Springer Nature, 2025, pp. 549–562. doi: 10.1007/978-981-96-6378-1_34. [Google Scholar]
- J. Zhang, J. Tian, N. Ta, and Z. Rao, “Transient response of the human ear to impulsive stimuli: A finite element analysis,” J. Acoust. Soc. Am., vol. 143, no. 5, pp. 2768–2779, May 2018, doi: 10.1121/1.5026240. [Google Scholar]
- C. Lee, P. Chen, W. Lee, J. Chen, and T. Liu, “Three-Dimensional Reconstruction and Modeling of Middle Ear Biomechanics by High-Resolution Computed Tomography and Finite Element Analysis,” The Laryngoscope, vol. 116, no. 5, pp. 711–716, May 2006, doi: 10.1097/01.mlg.0000204758.15877.34. [Google Scholar]
- R. Z. Gan, F. Yang, X. Zhang, and D. Nakmali, “Mechanical Properties of Stapedial Annular Ligament,” Med. Eng. Phys., vol. 33, no. 3, pp. 330–339, Apr. 2011, doi: 10.1016/j.medengphy.2010.10.022. [Google Scholar]
- N. Elkhouri, H. Liu, and W. R. J. Funnell, “Low-Frequency Finite-Element Modeling of the Gerbil Middle Ear,” JARO, vol. 7, no. 4, pp. 399–411, Nov. 2006, doi: 10.1007/s10162-006-0055-6. [Google Scholar]
- S. Assif, A. Faiz, C. Aziz, P. Komgue L.B, and A. Hajjaji, “Validation using the in vivo experiment of the 3D model of the human ear using the equivalent mechanical impedance of the Mass-Spring-Damper System,” Eur. Phys. J. Appl. Phys., vol. 97, p. 74, 2022, doi: 10.1051/epjap/2022220170. [CrossRef] [EDP Sciences] [Google Scholar]
- K. Gyo, H. Aritomo, and R. L. Goode, “Measurement of the Ossicular Vibration Ratio in Human Temporal Bones by Use of a Video Measuring System,” Acta Oto-Laryngologica, vol. 103, no. 1–2, pp. 87–95, Jan. 1987, doi: 10.3109/00016488709134702. [Google Scholar]
- J. P. Wilson, “Mechanics of middle and inner ear,” British Medical Bulletin, vol. 43, no. 4, pp. 821–837, 1987, doi: 10.1093/oxfordjournals.bmb.a072220. [Google Scholar]
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