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Model-based hearing diagnosis of middle ear condition using inverse fuzzy arithmetic and artificial neuronal network

By Benjamin Sackmann, Barbara Priwitzer and Michael Lauxmann

Abstract

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

Topics: ddc:610, ddc:004
Publisher: Reutlingen : Hochschule Reutlingen
Year: 2019
OAI identifier: oai:opus.reutlingen-university.de:2493
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