ArticleScientific reports2023
Inaccuracies of deterministic finite-element models of human middle ear revealed by stochastic modelling.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Simulation-based inference for subject-specific tuning of middle ear finite-element models towards personalized objective diagnosis.Scientific reports · 2025Article
- Effect of Middle Ear Prosthesis Diameter in Platinotomy and Partial Platinectomy on Hearing Gain: A Finite Element Study.Materials (Basel, Switzerland) · 2025Article
- Acoustical Effects of Tympanostomy Tube Attachment to Human Tympanic Membrane.Journal of the Association for Research in Otolaryngology : JARO · 2025Article
- From Simulations to Inference: Using Machine Learning to Tune Patient-Specific Finite-Element Models of the Middle Ear Towards Objective Diagnosis.bioRxiv : the preprint server for biology · 2024Article
- Experimental Study of Needle Insertion into Gerbil Tympanic Membrane.Journal of the Association for Research in Otolaryngology : JARO · 2024Article
- Article
- Mechanical Effects of Medical Device Attachment to Human Tympanic Membrane.Journal of the Association for Research in Otolaryngology : JARO · 2024Article
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5 authors.
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Abstract
For over 40 years, finite-element models of the mechanics of the middle ear have been mostly deterministic in nature. Deterministic models do not take into account the effects of inter-individual variabilities on middle-ear parameters. We present a stochastic finite-element model of the human middle ear that uses variability in the model parameters to investigate the uncertainty in the model outputs (umbo, stapes, and tympanic-membrane displacements). We demonstrate: (1) uncertainties in the model parameters can be magnified by more than three times in the umbo and stapes footplate responses at frequencies above 2 kHz; (2) middle-ear models are biased and they distort the output distributions; and (3) with increased frequency, the highly-uncertain regions spatially spread out on the tympanic membrane surface. Our results assert that we should be mindful when using deterministic finite-element middle-ear models for critical tasks such as novel device developments and diagnosis.
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