INDUSTRIAL NOISE FOR HEARING CONSERVATION

保护听力的工业噪音

• 批准号: 2277516
• 负责人: SHEAU-FANG LEI
• 金额: $ 5.36万
• 依托单位: PLATTSBURGH STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-30 至 1997-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2277516
• 关键词: audiometry; computer data analysis; computer program /software; noise; noise biological effect; noise pollution; occupational health /safety; occupational stressor; sound frequency

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.

为听力保护实践而进行的噪声测量 他们的目标是从数据中提取一些物理指标 噪声可用于估计长时间对听力造成的危害 接触。目前的实践仍然主要依赖于时间 量化噪声（即能量 公制）尽管有大量证据表明该措施在 各种工业情况。最近的实验表明 噪声暴露的传统测量方法，例如 Leq（等效水平）和 频谱与创伤的相关性较差，但该指标表​​明 量化噪声的时间特征，例如频率 域峰度与频率特异性高度相关 听力损失和创伤的严重程度。该项目的主要目标是 拟议的研究是开发基于当代的分析方法 可用于更好地表征噪声的信号分析技术 以保护听力为目的的暴露。小波 将开发变换和二头肌以获得指标 这将量化曝光的时间特征，并且 与常规测量结合使用会更准确 评估该噪音造成听力损失的可能性。 具体来说，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 从这些分析技术中获得的指标。