Literature DB >> 11318484

Hearing aid fitting procedures--state-of-the-art and current issues.

J Kiessling1.   

Abstract

The increasing degree of sophistication in hearing aid technology calls for appropriate fitting strategies, as otherwise hearing aid users cannot receive the full benefit from the most modern technological achievements. This paper describes the state of the art in hearing aid fitting procedures and offers a look into possible future developments. Currently, threshold-based fitting formula compete with loudness- and sound-based fitting procedures. Whereas threshold-based approaches are straightforward and timesaving, they do not consider loudness growth and the sound preferences of the listener. On the other hand, loudness- and sound-based procedures do take these aspects into account, but they are time consuming and it is not yet proven that they provide higher benefit for the end user. This may be due to the fact that either there is actually no extra benefit or more likely that the evaluation tools or study designs have to be improved. Concerns about how to fit more advanced future hearing instruments seem to be inappropriate, as an analysis of possible future signal processing algorithms shows that they probably do not need extra fitting to the individual hearing impairment but rather need optimization according to the acoustical environment.

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Year:  2001        PMID: 11318484     DOI: 10.1080/010503901300007074

Source DB:  PubMed          Journal:  Scand Audiol Suppl        ISSN: 0107-8593


  5 in total

1.  Audiologist-driven versus patient-driven fine tuning of hearing instruments.

Authors:  Monique Boymans; Wouter A Dreschler
Journal:  Trends Amplif       Date:  2011-12-04

Review 2.  An Extended Binaural Real-Time Auralization System With an Interface to Research Hearing Aids for Experiments on Subjects With Hearing Loss.

Authors:  Florian Pausch; Lukas Aspöck; Michael Vorländer; Janina Fels
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

3.  Robust Data-Driven Auditory Profiling Towards Precision Audiology.

Authors:  Raul Sanchez-Lopez; Michal Fereczkowski; Tobias Neher; Sébastien Santurette; Torsten Dau
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

4.  Revisiting Auditory Profiling: Can Cognitive Factors Improve the Prediction of Aided Speech-in-Noise Outcome?

Authors:  Mengfan Wu; Stine Christiansen; Michal Fereczkowski; Tobias Neher
Journal:  Trends Hear       Date:  2022 Jan-Dec       Impact factor: 3.496

5.  A flexible data-driven audiological patient stratification method for deriving auditory profiles.

Authors:  Samira Saak; David Huelsmeier; Birger Kollmeier; Mareike Buhl
Journal:  Front Neurol       Date:  2022-09-15       Impact factor: 4.086

  5 in total

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