Document Detail


A new software tool to optimize frequency table selection for cochlear implants.
MedLine Citation:
PMID:  20729774     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Daniel Jethanamest; Chin-Tuan Tan; Matthew B Fitzgerald; Mario A Svirsky
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
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:
Created Date:  2010-09-27     Completed Date:  2011-01-28     Revised Date:  2014-09-09    
Medline Journal Info:
Nlm Unique ID:  100961504     Medline TA:  Otol Neurotol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1242-7     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Cochlear Implantation / methods*
Cochlear Implants*
Deafness / surgery
Humans
Software*
Speech Perception
Grant Support
ID/Acronym/Agency:
K25 DC010834/DC/NIDCD NIH HHS; K99 DC009459/DC/NIDCD NIH HHS; K99 DC009459/DC/NIDCD NIH HHS; R00 DC009459/DC/NIDCD NIH HHS; R01 DC003937/DC/NIDCD NIH HHS; R01 DC003937/DC/NIDCD NIH HHS
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