Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, 10219 Riyadh, Saudi Arabia.
King Abdullah Ear Specialist Center, King Abdulaziz University, King Saud University, 10219 Riyadh, Saudi Arabia.
J Healthc Eng. 2022 Apr 29;2022:1112598. doi: 10.1155/2022/1112598. eCollection 2022.
Currently, several methods are being applied to assess auditory temporal resolution in a controlled clinical environment via the measurements of gap detection thresholds (GDTs). However, these methods face two issues: the relatively long time required to perform the gap detection test in such settings and the potential of inaccessibility to such facilities. This article proposes a fast, affordable, and reliable application-based method for the determination of GDT either inside or outside the soundproof booth. The proposed test and the acoustic stimuli were both developed using the MATLAB® programming platform. GDT is determined when the subject is able to distinguish the shortest silent gap inserted randomly in one of two segments of white noise. GDTs were obtained from 42 normal-hearing subjects inside and outside the soundproof booth. The results of this study indicated that average GDTs measured inside the booth (5.12 ± 1.02 ms) and outside (4.78 ± 1.16 ms) were not significantly different. The measured GDTs were also comparable to that reported in the literature. In addition, the GDT screening time of the proposed method was approximately 5 minutes, a screening time that is much less than that reported by the literature. Data show that the proposed application was fast and reliable to screen GDT compared to the standard method currently used in clinical settings.
目前，有几种方法可用于通过测量间隙检测阈值（GDT）在受控临床环境中评估听觉时间分辨率。然而，这些方法面临两个问题：在这种环境下进行间隙检测测试所需的时间相对较长，以及无法获得这些设施的可能性。本文提出了一种快速、经济实惠且可靠的基于应用程序的方法，用于在隔音室内或室外确定 GDT。拟议的测试和声学刺激均使用 MATLAB®编程平台开发。当受试者能够区分在两个白噪声段之一中随机插入的最短静音间隙时，即可确定 GDT。在隔音室内和室外，对 42 名正常听力受试者进行了 GDT 测量。该研究的结果表明，在隔音室内（5.12 ± 1.02 ms）和室外（4.78 ± 1.16 ms）测量的平均 GDT 没有显着差异。测量的 GDT 也与文献中报道的相似。此外，与文献中报道的相比，该方法的 GDT 筛选时间约为 5 分钟，筛选时间大大缩短。数据表明，与临床环境中目前使用的标准方法相比，该应用程序在筛选 GDT 方面快速可靠。
