gms | German Medical Science

24. Jahrestagung der Deutschen Gesellschaft für Audiologie

Deutsche Gesellschaft für Audiologie e. V.

14.09. - 17.09.2022, Erfurt

Clinical profiling of audiological patients

Meeting Abstract

  • presenting/speaker Samira Saak - Carl von Ossietzky Universität Oldenburg, Oldenburg, DE
  • Mareike Buhl - Carl von Ossietzky Universität Oldenburg, Oldenburg, DE
  • David Hülsmeier - Carl von Ossietzky Universität Oldenburg, Oldenburg, DE
  • Birger Kollmeier - Carl von Ossietzky Universität Oldenburg, Oldenburg, DE

Deutsche Gesellschaft für Audiologie e.V.. 24. Jahrestagung der Deutschen Gesellschaft für Audiologie. Erfurt, 14.-17.09.2022. Düsseldorf: German Medical Science GMS Publishing House; 2022. Doc151

doi: 10.3205/22dga151, urn:nbn:de:0183-22dga1519

Published: September 12, 2022

© 2022 Saak et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at



To enable earlier diagnosis and treatment of hearing loss, and address the average delay of 8.9 years between hearing-aid candidacy and hearing aid adoption [1], it is crucial to provide the general population with an easily accessible assessment tool to self-monitor their hearing capabilities. A smartphone based self-monitoring approach, i.e., a virtual hearing clinic, could provide listeners with a characterization and classification of their hearing loss, as well as a simulation of a personalized hearing aid to demonstrate the benefit a hearing aid could offer. To provide an accurate characterization of hearing loss without extensive testing, auditory profiles aim to represent distinct groups of audiological patients from different clinical databases. Using the information obtained during the mobile assessment, listeners will be matched into the auditory profiles. Within each profile, listeners are maximally similar to each other regarding measurement ranges of audiological tests, while retaining distinctive features across profiles.

Model-based clustering resulted in a first set of auditory profiles, which separate listeners within certain ranges across audiogram data, loudness scaling, speech tests, and anamnesis questions. Further, listeners can be classified into the auditory profiles with high precision. The generated profiles, thus, support the idea to summarize information across databases and may allow for an accurate diagnostic classification and provision of simulated hearing aids within the virtual hearing clinic, even if fewer tests are performed by listeners. In subsequent studies, additional databases will be incorporated and the profiles will be expanded with mobile and aided measurements, fitting parameters and further information from databases.


Simpson AN, Matthews LJ, Cassarly C, Dubno JR. Time from hearing aid candidacy to hearing aid adoption: A longitudinal cohort study. Ear & Hearing. 2019;40(3):468–76.