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首页> 外文期刊>Journal of the American Academy of Audiology >Computer-automated tinnitus assessment: Noise-band matching, maskability, and residual inhibition
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Computer-automated tinnitus assessment: Noise-band matching, maskability, and residual inhibition

机译:计算机自动耳鸣评估:噪声频带匹配,可屏蔽性和残留抑制

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Background: Psychoacoustic measures of tinnitus typically include loudness and pitch match, minimum masking level (MML), and residual inhibition (RI). We previously developed and documented a computerautomated tinnitus evaluation system (TES) capable of subject-guided loudness and pitch matching. The TES was further developed to conduct computer-aided, subject-guided testing for noise-band matching (NBM), MML, and RI. Purpose: The purposeofthe present study was to document the capability of the upgraded TES to obtain measures of NBM, MML, and RI, and to determine the test-retest reliability of the responses obtained. Research Design: Three subject-guided, computer-automated testing protocols were developed to conduct NBM. For MML and RI testing, a 2-12 kHz band of noise was used. All testing was repeated during a second session. Study Sample: Subjects meeting study criteria were selected from those who had previously been tested for loudness and pitch matching in our laboratory. A total of 21 subjects completed testing, including seven females and 14 males. Results: The upgraded TES was found to be fairly time efficient. Subjects were generally reliable, both within and between sessions, with respect to the type of stimulus they chose as the best match to their tinnitus. Matching to bandwidth was more variable between measurements, with greater consistency seen for subjects reporting tonal tinnitus or wide-band noisy tinnitus than intermediate types. Between-session repeated MMLs were within 10 dB of each other for all but three of the subjects. Subjects who experienced RI during Session 1 tended to be those who experienced it during Session 2. Conclusions: This study may represent the first time that NBM, MML, and RI audiometric testing results have been obtained entirely through a self-contained, computer-automated system designed specifically for use in the clinic. Future plans include refinements to achieve greater testing efficiency.
机译:背景:耳鸣的心理声学测量通常包括响度和音高匹配,最小掩蔽水平(MML)和残余抑制(RI)。我们先前开发并记录了能够自动进行主体响度和音高匹配的计算机自动耳鸣评估系统(TES)。 TES进一步进行了开发,以针对噪声带匹配(NBM),MML和RI进行计算机辅助,主题指导的测试。目的:本研究的目的是记录升级后的TES获得NBM,MML和RI度量的能力,并确定所获得响应的重测信度。研究设计:开发了三种主题指导的计算机自动测试协议来进行NBM。对于MML和RI测试,使用了2-12 kHz的噪声带。在第二节中重复所有测试。研究样本:符合研究标准的受试者选自以前在我们实验室进行过响度和音高匹配测试的受试者。共有21位受试者完成了测试,包括7位女性和14位男性。结果:发现升级后的TES具有相当的时间效率。就他们选择与耳鸣最匹配的刺激类型而言,受试者在课间内和课间之间通常都是可靠的。带宽的匹配在两次测量之间变化更大,与中间类型相比,报告音调耳鸣或宽带噪声耳鸣的受试者具有更大的一致性。除三个受试者外,所有受试者之间的会话间重复MML彼此之间均在10 dB以内。在会议1中经历过RI的受试者往往是在会议2中经历过RI的受试者。结论:这项研究可能代表着首次通过独立的计算机自动获得NBM,MML和RI听力测试结果专为诊所设计的系统。未来的计划包括改进以提高测试效率。

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