Alternative audiometric calibration methods: Evaluation of sound level measuring apps for audiometric calibration

IF 1.8 3区 医学 Q2 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
King Chung
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Abstract

Audiometric calibration, which includes the calibration of different audiometer transducers and the measurements of ambient noise levels, is historically carried out using Class 1 sound level meters. As technologies advance, many mobile applications (apps) have been developed to measure sound levels. These apps can provide alternative methods for audiometric calibration in places where sound level meters are not available, such as field testing environments, low-to-mid-income countries, and humanitarian settings. These apps, however, cannot be used for audiometric calibration without first evaluating their performance, which depends on multiple factors including the external components (if any), the operating system and the hardware of the electronic devices. The evaluation of the apps is actually the evaluation of the app and associated factors (i.e., the app systems). This paper discusses methods to assess several key functions of apps implemented in either Android or iOS operation system for audiometric calibration: 1) checking the measurement accuracy at all testing frequencies, 2) deriving and using correction factors, 3) determining the self-noise levels, and 4) evaluating the linear/measurement range. As audiometric calibration usually uses octave or 1/3 octave bands to measure sound pressure levels of tones and narrowband noises with relatively steady temporal characteristics, the accuracy of an app can be evaluated by comparing the levels measured by the app and a Class 1 sound level meter at each frequency. The level difference between the app and the Class 1 sound level meter at each frequency can then be used to calculate correction factors that can be added to subsequent levels measured by the app to improve its accuracy. In addition, methods to determine the self-noise level and the linearity range of apps are discussed. Sample measurement scenarios and alternative methods are provided to illustrate the evaluation process to determine whether an app is suitable for measuring ambient noise levels and for calibrating different audiometric transducers.

替代性听力校准方法:评估用于听力校准的声级测量应用程序
听力校准,包括不同听力计换能器的校准和环境噪声水平的测量,历史上使用1级声级计进行。随着技术的进步,许多移动应用程序(app)被开发出来测量声级。这些应用程序可以在没有声级计的地方,如现场测试环境、中低收入国家和人道主义环境中,为听力测量校准提供替代方法。然而,这些应用程序在没有首先评估其性能之前不能用于听力校准,这取决于多种因素,包括外部组件(如果有的话),操作系统和电子设备的硬件。对应用程序的评估实际上是对应用程序及其相关因素(即应用程序系统)的评估。本文讨论了在Android或iOS操作系统中实现的听力校准应用程序的几个关键功能的评估方法:1)检查所有测试频率下的测量精度,2)推导和使用校正因子,3)确定自噪声级,4)评估线性/测量范围。由于测听校准通常使用倍频或1/3倍频带来测量具有相对稳定时间特性的音调和窄带噪声的声压级,因此可以通过将应用程序测量的声压级与每个频率的1级声级计进行比较来评估应用程序的准确性。然后,应用程序和1级声级计在每个频率上的声级差可以用来计算校正因子,这些校正因子可以添加到应用程序测量的后续声级中,以提高其准确性。此外,还讨论了确定自噪声级和应用程序线性范围的方法。示例测量场景和替代方法提供了说明评估过程,以确定一个应用程序是否适合测量环境噪声水平和校准不同的听力传感器。
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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来源期刊
Journal of Communication Disorders
Journal of Communication Disorders AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-REHABILITATION
CiteScore
3.30
自引率
5.90%
发文量
71
审稿时长
>12 weeks
期刊介绍: The Journal of Communication Disorders publishes original articles on topics related to disorders of speech, language and hearing. Authors are encouraged to submit reports of experimental or descriptive investigations (research articles), review articles, tutorials or discussion papers, or letters to the editor ("short communications"). Please note that we do not accept case studies unless they conform to the principles of single-subject experimental design. Special issues are published periodically on timely and clinically relevant topics.
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