| A new software tool to optimize frequency table selection for cochlear implants. | |
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MedLine Citation:
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PMID: 20729774 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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HYPOTHESIS: When cochlear implant (CI) users are allowed to self-select the "most intelligible" frequency-to-electrode table, some of them choose one that differs from the default frequency table that is normally used in clinical practice. BACKGROUND: CIs reproduce the tonotopicity of normal cochleas using frequency-to-electrode tables that assign stimulation of more basal electrodes to higher frequencies and more apical electrodes to lower frequency sounds. Current audiologic practice uses a default frequency-to-electrode table for most patients. However, individual differences in cochlear size, neural survival, and electrode positioning may result in different tables sounding most intelligible to different patients. No clinical tools currently exist to facilitate this fitting. METHODS: A software tool was designed that enables CI users to self-select a most intelligible frequency table. Users explore a 2-dimensional space that represents a range of different frequency tables. Unlike existing tools, this software enables users to interactively audition speech processed by different frequency tables and quickly identify a preferred one. Pilot testing was performed in 11 long-term, postlingually deaf CI users. RESULTS: The software tool was designed, developed, tested, and debugged. Patients successfully used the tool to sample frequency tables and to self-select tables deemed most intelligible, which for approximately half of the users differed from the clinical default. CONCLUSION: A software tool allowing CI users to self-select frequency-to-electrode tables may help in fitting postlingually deaf users. This novel approach may transform current methods of CI fitting. |
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Authors:
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Daniel Jethanamest; Chin-Tuan Tan; Matthew B Fitzgerald; Mario A Svirsky |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Volume: 31 ISSN: 1537-4505 ISO Abbreviation: Otol. Neurotol. Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-09-27 Completed Date: 2011-01-28 Revised Date: 2012-04-27 |
Medline Journal Info:
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Nlm Unique ID: 100961504 Medline TA: Otol Neurotol Country: United States |
Other Details:
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Languages: eng Pagination: 1242-7 Citation Subset: IM |
Affiliation:
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Department of Otolaryngology, New York University School of Medicine, New York, New York 10016, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Cochlear Implantation
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methods* Cochlear Implants* Deafness / surgery Humans Software* Speech Perception |
| Grant Support | |
ID/Acronym/Agency:
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K99 DC009459/DC/NIDCD NIH HHS; K99 DC009459-02/DC/NIDCD NIH HHS; R00 DC009459-04/DC/NIDCD NIH HHS; R01 DC003937/DC/NIDCD NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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