IEC 60118-15测量程序的标准听力图。

Nikolai Bisgaard, Marcel S M G Vlaming, Martin Dahlquist
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引用次数: 165

摘要

对于助听器的特性,新的国际电工委员会(IEC)标准60118-15中定义了一种新的测试方法。对于这种特性,助听器将被设置为实际用户设置,由助听器制造商的标准安装软件编程。为了限制编程结果的变化,定义了10个标准听力图,涵盖了临床实践中遇到的整个听力图范围。本文描述了如何开发这组标准听力图。采用矢量量化分析方法,从28,244个听力图数据库中导出了一套标准听力图。利用这种分析方法,得到了12和60两种尺寸的典型听力图集。结果表明,由于不存在倾斜的听力图,较小的集合不能用于选择听力图。因此,对更大的一组进行了分析,提供了平坦和中度倾斜听力损失的7个标准听力图和陡峭听力损失的3个标准听力图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Standard audiograms for the IEC 60118-15 measurement procedure.

For the characterization of hearing aids, a new test method has been defined in the new International Electrotechnical Commission (IEC) standard 60118-15. For this characterization, the hearing aid will be set to actual user settings as programmed by standard fitting software from the hearing aid manufacturer. To limit the variation of programming outcomes, 10 standard audiograms, which cover the entire range of audiograms met in clinical practice, have been defined. This article describes how the set of standard audiograms has been developed. This set of standard audiogram has been derived by a vector quantization analysis method on a database of 28,244 audiograms. Using this analysis method, sets of typical audiograms have been obtained of sizes 12 and 60. It turned out that the smaller set could not be used for selecting audiograms as sloping audiograms were absent. Therefore, the larger set has been analyzed to provide seven standard audiograms for flat and moderately sloping hearing loss and three standard audiograms for steep hearing loss.

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来源期刊
Trends in Amplification
Trends in Amplification AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-OTORHINOLARYNGOLOGY
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>12 weeks
期刊最新文献
Laboratory and field study of the potential benefits of pinna cue-preserving hearing aids. Modern prescription theory and application: realistic expectations for speech recognition with hearing AIDS. The perception of telephone-processed speech by combined electric and acoustic stimulation. The master hearing aid. How linguistic closure and verbal working memory relate to speech recognition in noise--a review.
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