Literature DB >> 21428511

Kurtosis corrected sound pressure level as a noise metric for risk assessment of occupational noises.

G Steven Goley1, Won Joon Song, Jay H Kim.   

Abstract

Current noise guidelines use an energy-based noise metric to predict the risk of hearing loss, and thus ignore the effect of temporal characteristics of the noise. The practice is widely considered to underestimate the risk of a complex noise environment, where impulsive noises are embedded in a steady-state noise. A basic form for noise metrics is designed by combining the equivalent sound pressure level (SPL) and a temporal correction term defined as a function of kurtosis of the noise. Several noise metrics are developed by varying this basic form and evaluated utilizing existing chinchilla noise exposure data. It is shown that the kurtosis correction term significantly improves the correlation of the noise metric with the measured hearing losses in chinchillas. The average SPL of the frequency components of the noise that define the hearing loss with a kurtosis correction term is identified as the best noise metric among tested. One of the investigated metrics, the kurtosis-corrected A-weighted SPL, is applied to a human exposure study data as a preview of applying the metrics to human guidelines. The possibility of applying the noise metrics to human guidelines is discussed.
© 2011 Acoustical Society of America

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Year:  2011        PMID: 21428511      PMCID: PMC3188614          DOI: 10.1121/1.3533691

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  18 in total

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Authors:  R P Hamernik; W Qiu
Journal:  J Acoust Soc Am       Date:  2001-12       Impact factor: 1.840

2.  Application of the kurtosis statistic to the evaluation of the risk of hearing loss in workers exposed to high-level complex noise.

Authors:  Yi-Ming Zhao; Wei Qiu; Lin Zeng; Shan-Song Chen; Xiao-Ru Cheng; Robert I Davis; Roger P Hamernik
Journal:  Ear Hear       Date:  2010-08       Impact factor: 3.570

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Journal:  Hear Res       Date:  1989-04       Impact factor: 3.208

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Authors:  L Thiery; C Meyer-Bisch
Journal:  J Acoust Soc Am       Date:  1988-08       Impact factor: 1.840

5.  Interaction of continuous and impulse noise: audiometric and histological effects.

Authors:  R P Hamernik; D Henderson; J J Crossley; R J Salvi
Journal:  J Acoust Soc Am       Date:  1974-01       Impact factor: 1.840

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Authors:  G R Atherley
Journal:  Ann Occup Hyg       Date:  1973-08

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Journal:  Ann Occup Hyg       Date:  1971-12

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Authors:  G R Price
Journal:  J Acoust Soc Am       Date:  1979-08       Impact factor: 1.840

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Journal:  Ann Occup Hyg       Date:  1971-03

10.  The effects of the amplitude distribution of equal energy exposures on noise-induced hearing loss: the kurtosis metric.

Authors:  Roger P Hamernik; Wei Qiu; Bob Davis
Journal:  J Acoust Soc Am       Date:  2003-07       Impact factor: 1.840

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  10 in total

1.  Temporary threshold shift after impulse-noise during video game play: laboratory data.

Authors:  C Spankovich; S K Griffiths; E Lobariñas; K E Morgenstein; S de la Calle; V Ledon; D Guercio; C G Le Prell
Journal:  Int J Audiol       Date:  2014-03       Impact factor: 2.117

Review 2.  Occupational Hearing Loss from Non-Gaussian Noise.

Authors:  Alice H Suter
Journal:  Semin Hear       Date:  2017-07-19

3.  Estimation of Occupational Noise-Induced Hearing Loss Using Kurtosis-Adjusted Noise Exposure Levels.

Authors:  Meibian Zhang; Xiangjing Gao; William J Murphy; Chucri A Kardous; Xin Sun; Weijiang Hu; Wei Gong; Jingsong Li; Wei Qiu
Journal:  Ear Hear       Date:  2022-04-21       Impact factor: 3.562

4.  Fatigue Modeling via Mammalian Auditory System for Prediction of Noise Induced Hearing Loss.

Authors:  Pengfei Sun; Jun Qin; Kathleen Campbell
Journal:  Comput Math Methods Med       Date:  2015-11-24       Impact factor: 2.238

5.  Epidemiological characteristics of hearing loss associated with noise temporal structure among manufacturing workers.

Authors:  Lifang Zhou; Xiaoying Ruan; Tongshuai Wang; Hongwei Xie; Yong Hu; Zhihao Shi; Jiarui Xin; Jiena Zhou; Panqi Xue; Fang Wei; Yixin Zhang; Meibian Zhang; Hua Zou
Journal:  Front Integr Neurosci       Date:  2022-09-08

6.  Developing a guideline for measuring workplace non-Gaussian noise exposure based on kurtosis adjustment of noise level in China.

Authors:  Meibian Zhang; Yong Hu; Wei Qiu; Xiangjing Gao; Anke Zeng; Zhihao Shi; Jiarui Xin; Shixing Bai; Xin Sun
Journal:  Front Public Health       Date:  2022-09-23

Review 7.  The Noise Exposure Structured Interview (NESI): An Instrument for the Comprehensive Estimation of Lifetime Noise Exposure.

Authors:  Hannah Guest; Rebecca S Dewey; Christopher J Plack; Samuel Couth; Garreth Prendergast; Warren Bakay; Deborah A Hall
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

8.  The association between subcortical and cortical fMRI and lifetime noise exposure in listeners with normal hearing thresholds.

Authors:  Rebecca S Dewey; Susan T Francis; Hannah Guest; Garreth Prendergast; Rebecca E Millman; Christopher J Plack; Deborah A Hall
Journal:  Neuroimage       Date:  2019-10-03       Impact factor: 6.556

9.  Occupational noise-induced hearing loss in China: a systematic review and meta-analysis.

Authors:  Jiena Zhou; Zhihao Shi; Lifang Zhou; Yong Hu; Meibian Zhang
Journal:  BMJ Open       Date:  2020-09-28       Impact factor: 2.692

10.  Applying Kurtosis as an Indirect Metric of Noise Temporal Structure in the Assessment of Hearing Loss Associated With Occupational Complex Noise Exposure.

Authors:  Meibian Zhang; Wei Qiu; Hongwei Xie; Xiaohui Xu; Zhihao Shi; Xiangjing Gao; Lifang Zhou; Hua Zou; Weijiang Hu; Xin Sun
Journal:  Ear Hear       Date:  2021 Nov-Dec 01       Impact factor: 3.570

  10 in total

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