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
Department of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.
Faculty of Biology, Cognitive Neuroscience, Bielefeld University, 33615 Bielefeld, Germany.
Brain Sci. 2022 Apr 29;12(5):580. doi: 10.3390/brainsci12050580.
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.
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.
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.
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.
由于人工耳蜗植入适应症范围的变化以及社会人口老龄化的发展，越来越多的人接受了人工耳蜗植入。植入手术需要密切的听力学和言语治疗随访。目前，听力治疗康复需要大量人力且耗时。数字听力训练程序可以辅助听力和言语治疗康复。然而，目前市场上的应用程序个性化和结构化程度有限。日益增长的数字化使得在大流行时期尤其能够将听力治疗与日常临床实践分离。
为此，正在开发一款为患者量身定制听力治疗的应用程序。考虑了影响听力结果的个体因素。该应用程序使用智能算法来确定练习的选择、难度级别以及难度增加的速度。
该应用程序无需连接当地言语治疗师即可自主运行。此外，该应用程序能够分析患者在练习中的困难，并就技术调整的必要性给出结论。
所展示的新开发应用程序为人工耳蜗植入术后支持、替代、扩展和改进传统门诊听力和言语治疗提供了一种可能。该应用程序的工作方式使其能够惠及更多人群，并为传统治疗提供节省时间和成本的替代方案。
