Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation

Eichler T, Rötz W, Kayser C, Bröhl F, Römer M, Witteborg AH, Kummert F, Sandmeier T, Schulte C, Stolz P, Meyer K, et al. (2022)
Brain Sciences 12(5): 580.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
OA 1.03 MB
Autor*in
Eichler, Theda; Rötz, Wiebke; Kayser, ChristophUniBi ; Bröhl, FelixUniBi; Römer, MichaelUniBi ; Witteborg, Arne HenningUniBi ; Kummert, FranzUniBi; Sandmeier, Tobias; Schulte, Christoph; Stolz, Patricia; Meyer, Katharina; Sudhoff, HolgerUniBi
Alle
Abstract / Bemerkung
Introduction: Due to the changes in the indication range for cochlear implants and the demographic development towards an aging society, more and more people are in receipt of cochlear implants. An implantation requires a close-meshed audiological and logopedic aftercare. Hearing therapy rehabilitation currently requires 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 degree 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 considered. 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 provides conclusions about the need for technical adjustments. Conclusions: The presented newly developed app represents a possibility to support, replace, expand and improve the classic outpatient hearing and speech therapy after CI implantation. The way the application works allows it to reach more people and provide a time- and cost-saving alternative to traditional therapy.
Erscheinungsjahr
2022
Zeitschriftentitel
Brain Sciences
Band
12
Ausgabe
5
Seite(n)
580
eISSN
2076-3425
Page URI
https://pub.uni-bielefeld.de/record/2962654

Zitieren

Eichler T, Rötz W, Kayser C, et al. Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation. Brain Sciences. 2022;12(5):580.
Eichler, T., Rötz, W., Kayser, C., Bröhl, F., Römer, M., Witteborg, A. H., Kummert, F., et al. (2022). Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation. Brain Sciences, 12(5), 580. https://doi.org/10.3390/brainsci12050580
Eichler, T., Rötz, W., Kayser, C., Bröhl, F., Römer, M., Witteborg, A. H., Kummert, F., Sandmeier, T., Schulte, C., Stolz, P., et al. (2022). Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation. Brain Sciences 12, 580.
Eichler, T., et al., 2022. Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation. Brain Sciences, 12(5), p 580.
T. Eichler, et al., “Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation”, Brain Sciences, vol. 12, 2022, pp. 580.
Eichler, T., Rötz, W., Kayser, C., Bröhl, F., Römer, M., Witteborg, A.H., Kummert, F., Sandmeier, T., Schulte, C., Stolz, P., Meyer, K., Sudhoff, H., Todt, I.: Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation. Brain Sciences. 12, 580 (2022).
Eichler, Theda, Rötz, Wiebke, Kayser, Christoph, Bröhl, Felix, Römer, Michael, Witteborg, Arne Henning, Kummert, Franz, Sandmeier, Tobias, Schulte, Christoph, Stolz, Patricia, Meyer, Katharina, Sudhoff, Holger, and Todt, Ingo. “Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation”. Brain Sciences 12.5 (2022): 580.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2022-06-01T07:33:20Z
MD5 Prüfsumme
a8213fa18815d41c44dbe6584a9f7fb6

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 35624970
PubMed | Europe PMC

Suchen in

Google Scholar