Literature DB >> 24915528

Hearing dummies: individualized computer models of hearing impairment.

Manasa R Panda1, Wendy Lecluyse, Christine M Tan, Tim Jürgens, Ray Meddis.   

Abstract

UNLABELLED: Objective: Our aim was to explore the usage of individualized computer models to simulate hearing loss based on detailed psychophysical assessment and to offer hypothetical diagnoses of the underlying pathology.
DESIGN: Individualized computer models of normal and impaired hearing were constructed and evaluated using the psychophysical data obtained from human listeners. Computer models of impaired hearing were generated to reflect the hypothesized underlying pathology (e.g. dead regions, outer hair cell dysfunction, or reductions in endocochlear potential). These models were evaluated in terms of their ability to replicate the original patient data. STUDY SAMPLE: Auditory profiles were measured for two normal and five hearing-impaired listeners using a battery of three psychophysical tests (absolute thresholds, frequency selectivity, and compression).
RESULTS: The individualized computer models were found to match the data. Useful fits to the impaired profiles could be obtained by changing only a single parameter in the model of normal hearing. Sometimes, however, it was necessary to include an additional dead region.
CONCLUSION: The creation of individualized computer models of hearing loss can be used to simulate auditory profiles of impaired listeners and suggest hypotheses concerning the underlying peripheral pathology.

Entities:  

Keywords:  Auditory profiles; auditory model; normal and impaired hearing

Mesh:

Year:  2014        PMID: 24915528     DOI: 10.3109/14992027.2014.917206

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  4 in total

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Authors:  Jacques Grange; Mengchao Zhang 张梦超; John Culling
Journal:  J Neurosci       Date:  2022-07-25       Impact factor: 6.709

2.  Forward-masking recovery and the assumptions of the temporal masking curve method of inferring cochlear compression.

Authors:  Patricia Pérez-González; Peter T Johannesen; Enrique A Lopez-Poveda
Journal:  Trends Hear       Date:  2014-12-21       Impact factor: 3.293

3.  Investigating time-efficiency of forward masking paradigms for estimating basilar membrane input-output characteristics.

Authors:  Michal Fereczkowski; Morten L Jepsen; Torsten Dau; Ewen N MacDonald
Journal:  PLoS One       Date:  2017-03-29       Impact factor: 3.240

4.  Across-frequency behavioral estimates of the contribution of inner and outer hair cell dysfunction to individualized audiometric loss.

Authors:  Peter T Johannesen; Patricia Pérez-González; Enrique A Lopez-Poveda
Journal:  Front Neurosci       Date:  2014-07-23       Impact factor: 4.677

  4 in total

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