CC BY-NC-ND 4.0 · Laryngorhinootologie 2022; 101(S 02): S243-S244
DOI: 10.1055/s-0042-1746744
Poster
Otology / Neurootology / Audiology: Cochlear implant

Algorithm based hearing and speech therapy rehabilitation after cochlear implantation

Theda Eichler
1   Universitätsklinikum Bielefeld Mitte, HNO – Audiologie Bielefeld
,
Wiebke Rötz
1   Universitätsklinikum Bielefeld Mitte, HNO – Audiologie Bielefeld
,
Franz Kummert
2   Universität Bielefeld, Research Institute for Cognition and Robotics Bielefeld
,
Christoph Kayser
3   Universität Bielefeld, Faculty of Biology, Cognitive Neuroscience Bielefeld
,
Michael Römer
4   Universität Bielefeld, Faculty of Economics, Decision Analytics Bielefeld
,
Felix Bröhl
3   Universität Bielefeld, Faculty of Biology, Cognitive Neuroscience Bielefeld
,
Henning Witteborg
4   Universität Bielefeld, Faculty of Economics, Decision Analytics Bielefeld
,
Tobias Sandmeier
2   Universität Bielefeld, Research Institute for Cognition and Robotics Bielefeld
,
Christoph Schulte
2   Universität Bielefeld, Research Institute for Cognition and Robotics Bielefeld
,
Ingo Todt
1   Universitätsklinikum Bielefeld Mitte, HNO – Audiologie Bielefeld
› Author Affiliations
 
 

    Introduction Due to the changes in the guidelines for cochlear implants and the demographic development, more and more people get cochlear implants. An implantation requires a close-meshed audiological and logopedic aftercare. Hearing therapy rehabilitation currently requires a great personnel effort and is time consuming. Hearing and speech therapy rehabilitation can be supported by digital hearing training programs. However, the apps currently on the market are to a limited decree personalized and structured. Increasing digitalization makes it possible, especially in times of pandemics, to decouple hearing therapy treatment from everyday clinical practice.

    Material and Methods For this purpose, an app is in development that provides hearing therapy tailored to the patient. The individual factors that influence hearing outcome are taken into account. Using intelligent algorithms, the app determines the selection of exercises, the level of difficulty and the speed at which the difficulty is increased.

    Results The app works autonomously without being connected to local speech therapists. In addition, the app is able to analyze patient difficulties within the exercises and provide conclusions about the need for technical adjustments.

    Conclusion In a growing cochlear implant environment with limited financial and personnel resources for hearing rehabilitation app based solutions are needed to secure high level outcomes with the cochlear implant.


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    Conflict of Interest

    The author declares that there is no conflict of interest.

    Publication History

    Article published online:
    24 May 2022

    © 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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