INDUSTRIAL NOISE FOR HEARING CONSERVATION

为听力保护实践而进行的噪声测量 作为他们的目标，从宇宙中提取一些物理度量， 噪声，可用于估计长期听力的危害 exposure.目前的做法仍然主要依赖于一个时间 量化噪声的平均、积分方法（即，能量 尽管有大量证据表明，这一措施在 各种工业情况。最近的实验表明， 噪声暴露的常规措施，如Leq（等效水平）和 频谱与创伤相关性很差，但 量化噪声的时间特性 结构域峰度与频率特异性、 听力损失和创伤的严重程度。的主要目的 建议的研究是发展分析方法的基础上，当代 可用于更好地表征噪声的信号分析技术 为了保护听力而暴露。小波 转换和双倒谱将被开发，以获得指标 其将量化曝光的时间特性， 当与常规测量结合使用时， 评估这种噪音导致听力损失的可能性。 具体地，时域峰度的分布、联合峰值- 区间直方图和频域峰度将是主要的 将从这些分析技术中获得的指标。

Noise measurements made for the purpose of hearing conservation practice have as their objective the extraction of some physical metric from the noise that can be used to estimate the hazards to hearing from prolonged exposure. Current practice continues to rely primarily upon a time averaged, integrated approach to quantifying a noise (i.e., an energy metric) despite substantial evidence of the inadequacy of this measure in a variety of industrial situations. Recent experiments have shown that conventional measures of noise exposure such as Leq (equivalent level) and spectrum were poorly correlated with trauma, but that metrics that quantify the temporal characteristics of the noise such as frequency domain kurtosis were highly correlated with both the frequency specificity of hearing loss and the severity of trauma. The primary objective of the proposed research is to develop analytical methods based upon contemporary signal analysis technology that can be used to better characterize noise exposure for the purpose of hearing conservation. The wavelet transformation and the bicepstrum will be developed to obtain metrics which will quantify the temporal characteristics of an exposure and which when used in conjunction with conventional measures will more accurately assess the potential of that noise for producing hearing loss. Specifically, the distribution of time domain kurtosis, the joint peak- interval histogram and the frequency domain kurtosis will be the primary metrics that will be obtained from these analytical techniques.