| A new model for calculating auditory excitation patterns and loudness for cases of cochlear hearing loss. | |
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MedLine Citation:
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PMID: 21983133 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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A model for calculating auditory excitation patterns and loudness for steady sounds for normal hearing is extended to deal with cochlear hearing loss. The filters used in the model have a double ROEX-shape, the gain of the narrow active filter being controlled by the output of the broad passive filter. It is assumed that the hearing loss at each audiometric frequency can be partitioned into a loss due to dysfunction of outer hair cells (OHCs) and a loss due to dysfunction of inner hair cells (IHCs). OHC loss is modeled by decreasing the maximum gain of the active filter, which results in increased absolute threshold, reduced compressive nonlinearity and reduced frequency selectivity. IHC loss is modeled by a level-dependent attenuation of excitation level, which results in elevated absolute threshold. The magnitude of OHC loss and IHC loss can be derived from measures of loudness recruitment and the measured absolute threshold, using an iterative procedure. The model accurately fits loudness recruitment data obtained using subjects with unilateral or highly asymmetric cochlear hearing loss who were required to make loudness matches between tones presented alternately to the two ears. With the same parameters, the model predicted loudness matches between narrowband and broadband sound reasonably well, reflecting loudness summation. The model can also predict when a dead region is present. |
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Authors:
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Zhangli Chen; Guangshu Hu; Brian R Glasberg; Brian C J Moore |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-9-29 |
Journal Detail:
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Title: Hearing research Volume: - ISSN: 1878-5891 ISO Abbreviation: - Publication Date: 2011 Sep |
Date Detail:
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Created Date: 2011-10-10 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7900445 Medline TA: Hear Res Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier B.V. All rights reserved. |
Affiliation:
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Department of Biomedical Engineering, Medical School, Tsinghua University, Beijing 100084, China; Department of Experimental Psychology, University of Cambridge, Cambridge CB2 3EB, UK. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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