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Auditory fatigue models for prediction of gradually developed noise induced hearing loss

机译:听觉疲劳模型,用于预测逐渐发展的噪声诱发的听力损失

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Existing noise metrics and modeling for noise induced hearing loss (NIHL) have limitations on prediction of gradually developing NIHL (GDHL) caused by high-level occupational noise. In this study, two auditory fatigue models have been proposed for prediction of GDHL in human. The generalized mammalian auditory model incorporating dual resonant nonlinear (DRNL) filter is used to obtain the velocity distribution on basilar membrane (BM). The velocities of BM as the input loads quantitatively reflect the mechanical fatigue failure of organ of Corti. In addition, experimental human hearing loss data are used to validate the effectiveness of the proposed auditory fatigue models. The regression analysis results show that both auditory fatigue models demonstrate high correlations with human hearing loss data.
机译:现有的噪声量度和噪声诱发的听力损失(NIHL)的建模在预测由高水平的职业噪声引起的NIHL(GDHL)逐渐发展方面存在局限性。在这项研究中,已经提出了两种听觉疲劳模型来预测人的GDHL。结合双共振非线性(DRNL)滤波器的广义哺乳动物听觉模型用于获得基底膜(BM)上的速度分布。 BM作为输入载荷的速度定量反映了Corti器官的机械疲劳破坏。另外,实验性人类听力损失数据用于验证所提出的听觉疲劳模型的有效性。回归分析结果表明,两种听觉疲劳模型均与人类听力损失数据具有高度相关性。

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