TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Sackmann, Benjamin
A1  - Priwitzer, Barbara
A1  - Lauxmann, Michael
ED  - Burgert, Oliver
T1  - Model-based hearing diagnosis of middle ear condition using inverse fuzzy arithmetic and artificial neuronal network
T2  - CURAC 2019 - Tagungsband : 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e. V. : 19. - 21. September 2019, Reutlingen
N2  - Due to the large interindividual variances and the poor optical accessibility of the ear, the specificity of hearing diagnostics today is severely restricted to a certain clinical picture and quantitative assessment. Often only a yes or no decision is possible, which depends strongly on the subjective assessment of the ENT physician. A novel approach, in which objectively obtainable, non invasive audiometric measurements are evaluated using a numerical middle ear model, makes it possible to make the hidden middle ear properties visible and quantifiable. The central topic of this paper is a novel parameter identification algorithm that combines inverse fuzzy arithmetic with an artificial neural network in order to achieve a coherent diagnostic overall picture in the comparison of model and measurement. Its usage is shown at a pathological pattern called malleus fixation where the upper ligament of the malleus is pathologically stiffened.
KW  - middle-ear model
KW  - model-based ENT diagnostic
KW  - wideband tympanometry
KW  - fuzzy arithmetic
KW  - artificial neural network
Y1  - 2019
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-24931
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-24931
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  - 89
EP  - 94
S1  - 6
PB  - Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.
CY  - Stuttgart
ER  -