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Customized acoustic transform functions and their accuracy at predicting real-ear hearing aid performance.

Munro, K J; Hatton, N

Ear and hearing. 2000;21(1):59-69.

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Abstract

OBJECTIVE: The purpose of the study was to evaluate the validity of predicting the real-ear aided response by adding customized acoustic transform functions to the performance of a hearing aid in a 2-cc coupler. DESIGN: The real-ear hearing aid response, the real-ear-to-coupler difference (RECD/HA2), and field to behind-the-ear microphone transfer functions were measured in both ears of 24 normally hearing subjects using probe-tube microphone equipment. The RECD/HA2 transform function was obtained using both insert earphones and with the hearing aid/ pressure comparison method. An RECD/HA2 transfer function was also obtained with a customized earmold, ER-3A foam tip, and an oto-admittance tip. RESULTS: Validity estimates were calculated as the difference between the derived and measured real-ear response. The derived response was generally within 5 dB of the measured real-ear response when it incorporated an RECD/HA2 transform function obtained with a customized earmold for the specific ear in question. Discrepancies increased when the RECD/HA2 transfer function was obtained from the same subject but the opposite ear. There were significant differences between the RECD/HA2 transform function obtained with customized and temporary earmolds. As a result, the derived response incorporating these transforms differed significantly from the measured real-ear response obtained with the customized earmold. The insert earphone and the hearing aid RECD/HA2 transfer function were equally valid. CONCLUSIONS: The derived response may be used as a substitute for in situ hearing aid response procedures when it incorporates acoustic transform functions obtained with a customized earmold from the specific ear in question.

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Place of publication:
UNITED STATES
Volume:
21
Issue:
1
Pagination:
59-69
Pubmed Identifier:
10708074
Access state:
Active

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Record metadata

Manchester eScholar ID:
uk-ac-man-scw:146781
Created by:
Munro, Kevin
Created:
10th January, 2012, 12:15:32
Last modified by:
Munro, Kevin
Last modified:
10th January, 2012, 12:15:32

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