TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Burovikhin, Dmitrii
A1  - Sackmann, Benjamin
A1  - Schär, Merlin
A1  - Sim, Jae Hoon
A1  - Lauxmann, Michael
ED  - Burgert, Oliver
T1  - Parameter identification of a human stapedial annular ligament model in the context of a model-based hearing diagnosis of the human middle ear
T2  - CURAC 2019 - Tagungsband : 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e. V. : 19. - 21. September 2019, Reutlingen
N2  - 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.
KW  - middle ear
KW  - model-based hearing diagnosis
KW  - annular ligament model
KW  - parameter identification procedure
Y1  - 2019
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-24949
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-24949
UR  - https://www.curac.org/images/advportfoliopro/images/CURAC2019/Tagungsband_Impressum_Curac.pdf
SN  - 978-3-00-063717-9
SB  - 978-3-00-063717-9
SP  - 95
EP  - 100
S1  - 6
PB  - Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.
CY  - Stuttgart
ER  -