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Parameter identification of a human stapedial annular ligament model in the context of a model-based hearing diagnosis of the human middle ear

  • This study describes a non-contact measuring and parameter identification procedure designed to evaluate inhomogeneous stiffness and damping characteristics of the annular ligament in the physiological amplitude and frequency range without the application of large static external forces that can cause unnatural displacements of the stapes. To verify the procedure, measurements were first conducted on a steel beam. Then, measurements on an individual human cadaveric temporal bone sample were performed. The estimated results support the inhomogeneous stiffness and damping distribution of the annular ligament and are in a good agreement with the multiphoton microscopy results which show that the posterior-inferior corner of the stapes footplate is the stiffest region of the annular ligament. This method can potentially help to establish a correlation between stiffness and damping characteristics of the annular ligament and inertia properties of the stapes and, thus, help to reduce the number of independent parameters in the model-based hearing diagnosis.

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Metadaten
Name:Burovikhin, Dmitrii; Sackmann, Benjamin; Lauxmann, Michael
URN:urn:nbn:de:bsz:rt2-opus4-24949
URL:https://www.curac.org/de/willkommen-2019/vergangene-jahrestagungen/84-vergangene-jahrestagungen/36-curac-2019
ISBN:978-3-00-063717-9
Erschienen in:CURAC 2019 - Tagungsband : 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e. V. : 19. - 21. September 2019, Reutlingen
Publisher:Hochschule Reutlingen, Fakultät Informatik
Place of publication:Reutlingen
Editor:Oliver Burgert
Document Type:Conference Proceeding
Language:English
Year of Publication:2019
Tag:annular ligament model; middle ear; model-based hearing diagnosis; parameter identification procedure
Pagenumber:6
First Page:95
Last Page:100
Catalogue entry:Im Katalog der Hochschule Reutlingen ansehen
Dewey Decimal Classification:610 Medizin, Gesundheit
004 Informatik
Open Access:Ja
Licence (German):License Logo  Open Access