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Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation.
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; Todt, Ingo.
  • Eichler T; Department of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.
  • Rötz W; Department of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.
  • Kayser C; Faculty of Biology, Cognitive Neuroscience, Bielefeld University, 33615 Bielefeld, Germany.
  • Bröhl F; Faculty of Biology, Cognitive Neuroscience, Bielefeld University, 33615 Bielefeld, Germany.
  • Römer M; Faculty of Economics, Decision Analytics, Bielefeld University, 33615 Bielefeld, Germany.
  • Witteborg AH; Faculty of Economics, Decision Analytics, Bielefeld University, 33615 Bielefeld, Germany.
  • Kummert F; Research Institute for Cognition and Robotics, Bielefeld University, 33615 Bielefeld, Germany.
  • Sandmeier T; Research Institute for Cognition and Robotics, Bielefeld University, 33615 Bielefeld, Germany.
  • Schulte C; Research Institute for Cognition and Robotics, Bielefeld University, 33615 Bielefeld, Germany.
  • Stolz P; Department of Design, University of Applied Science, 33619 Bielefeld, Germany.
  • Meyer K; Department of Design, University of Applied Science, 33619 Bielefeld, Germany.
  • Sudhoff H; Department of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.
  • Todt I; Department of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.
Brain Sci ; 12(5)2022 Apr 29.
Article in English | MEDLINE | ID: covidwho-1875489
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Traditional medicine Language: English Year: 2022 Document Type: Article Affiliation country: Brainsci12050580

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Traditional medicine Language: English Year: 2022 Document Type: Article Affiliation country: Brainsci12050580