Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
Institute of Environmental and Occupational Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
J Acoust Soc Am. 2019 Apr;145(4):2388. doi: 10.1121/1.5096643.
The ISO-1999 [(2013). International Organization for Standardization, Geneva, Switzerland] standard is the most commonly used approach for estimating noise-induced hearing trauma. However, its insensitivity to noise characteristics limits its practical application. In this study, an automatic classification method using the support vector machine (SVM) was developed to predict hearing impairment in workers exposed to both Gaussian (G) and non-Gaussian (non-G) industrial noises. A recently collected human database (N = 2,110) from industrial workers in China was used in the present study. A statistical metric, kurtosis, was used to characterize the industrial noise. In addition to using all the data as one group, the data were also broken down into the following four subgroups based on the level of kurtosis: G/quasi-G, low-kurtosis, middle-kurtosis, and high-kurtosis groups. The performance of the ISO-1999 and the SVM models was compared over these five groups. The results showed that: (1) The performance of the SVM model significantly outperformed the ISO-1999 model in all five groups. (2) The ISO-1999 model could not properly predict hearing impairment for the high-kurtosis group. Moreover, the ISO-1999 model is likely to underestimate hearing impairment caused by both G and non-G noise exposures. (3) The SVM model is a potential tool to predict hearing impairment caused by diverse noise exposures.
国际标准化组织 1999 号标准 [(2013)。国际标准化组织，瑞士日内瓦] 是评估噪声性听力损伤最常用的方法。然而，它对噪声特性的不敏感性限制了其实际应用。在这项研究中，开发了一种使用支持向量机 (SVM) 的自动分类方法，用于预测接触高斯 (G) 和非高斯 (非 G) 工业噪声的工人的听力损伤。本研究使用了中国工业工人最近收集的一个人类数据库 (N = 2,110)。一个统计度量，峭度，用于描述工业噪声。除了将所有数据作为一组使用外，还根据峭度水平将数据分为以下四个亚组：G/准 G、低峭度、中峭度和高峭度组。比较了 ISO-1999 和 SVM 模型在这五个组中的性能。结果表明：(1) 在所有五个组中，SVM 模型的性能均明显优于 ISO-1999 模型。(2) ISO-1999 模型无法正确预测高峭度组的听力损伤。此外，ISO-1999 模型可能低估了 G 和非 G 噪声暴露引起的听力损伤。(3) SVM 模型是预测不同噪声暴露引起的听力损伤的潜在工具。
