Sound: A Very Short Introduction

Goldsmith, Mike

doi:10.1093/actrade/9780198708445.001.0001

Cited by 4 publications

(2 citation statements)

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“…Hearing loss impacts about 360 million people worldwide (over 5 percent of the global population) [1]. One cause of hearing loss is exposure to loud sounds [2].…”

Section: Introductionmentioning

confidence: 99%

Risk of Hearing Loss Caused by Multiple Acoustic Impulses in the Framework of Biovariability

Wang¹,

Burgei²,

Zhou³

2018

Health

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We consider the hearing loss injury among subjects in a crowd with a wide spectrum of individual intrinsic injury probabilities due to biovariability. For multiple acoustic impulses, the observed injury risk of a crowd vs the effective combined dose follows the logistic dose-response relation. The injury risk of a crowd is the average fraction of injured. The injury risk was measured in experiments as follows: each subject is individually exposed to a sequence of acoustic impulses of a given intensity and the injury is recorded; results of

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“…Hearing loss impacts about 360 million people worldwide (over 5 percent of the global population) [1]. One cause of hearing loss is exposure to loud sounds [2].…”

Section: Introductionmentioning

confidence: 99%

Risk of Hearing Loss Caused by Multiple Acoustic Impulses in the Framework of Biovariability

Wang¹,

Burgei²,

Zhou³

2018

Health

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“…A common way to measure the amount of sound is the decibel (dB) [1]. Sounds of less than 75 dB are at safe levels that do not damage our hearing.…”

Section: Introductionmentioning

confidence: 99%

Asymptotics and Well-Posedness of the Derived Distribution Density in a Study of Biovariability

Wang¹,

Burgei²,

Zhou³

2018

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In our recent work (Wang, Burgei, and Zhou, 2018) we studied the hearing loss injury among subjects in a crowd with a wide spectrum of heterogeneous individual injury susceptibility due to biovariability. The injury risk of a crowd is defined as the average fraction of injured. We examined mathematically the injury risk of a crowd vs the number of acoustic impulses the crowd is exposed to, under the assumption that all impulses act independently in causing injury regardless of whether one is preceded by another. We concluded that the observed dose-response relation can be explained solely on the basis of biovariability in the form of heterogeneous susceptibility. We derived an analytical solution for the distribution density of injury susceptibility, as a power series expansion in terms of scaled log individual non-injury probability. While theoretically the power series converges for all argument values, in practical computations with IEEE double precision, at large argument values, the numerical accuracy of the power series summation is completely wiped out by the accumulation of round-off errors. In this study, we derive a general asymptotic approximation at large argument values, for the distribution density. The combination of the power series and the asymptotics provides a practical numerical tool for computing the distribution density. We then use this tool to verify numerically that the distribution obtained in our previous theoretical study is indeed a proper density. In addition, we will also develop a very efficient and accurate Pade approximation for the distribution density.

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Sound and the Virtual

Garner

2017

Echoes of Other Worlds: Sound in Virtual Reality

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Sound: A Very Short Introduction

Cited by 4 publications

References 0 publications

Risk of Hearing Loss Caused by Multiple Acoustic Impulses in the Framework of Biovariability

Risk of Hearing Loss Caused by Multiple Acoustic Impulses in the Framework of Biovariability

Asymptotics and Well-Posedness of the Derived Distribution Density in a Study of Biovariability

Sound and the Virtual

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