A statistical classifier for hearing protector REAT data.
Public Domain
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2000/11/01
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Description:Hearing protector attenuation data have been demonstrated to exhibit bimodal characteristics due to poorly fitting protectors. The data have been modeled with two distributions [Murphy and Franks, J. Acoust. Soc. Am. 106, 2262 (1999)]. The bimodal distribution model was used as the basis of a statistical classifier for an individual's attenuation data to identify whether or not the data come from a poor or well fit distribution. Training classes were developed from ANSI S12.6 Method B subject fit data [Franks et al., Ear Hear. 21, 218-226 (2000)] for the EAR Classic (n=25), EAR Express (n=20) and Howard Leight MAX (n=25) earplugs. Real ear attenuation at threshold was measured under circumaural headphones for each earplug with a panel of 20 subjects. Preliminary results suggest that data from 500 or 1000 Hz yield the best ability to separate the attenuations. [Description provided by NIOSH]
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ISSN:0001-4966
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Volume:108
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Issue:5
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NIOSHTIC Number:nn:20045240
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Citation:J Acoust Soc Am 2000 Nov; 108(5):2621
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Contact Point Address:William J. Murphy, Hearing Loss Prevention Section, NIOSH, M.S., C-27, 4676 Columbia Pkwy., Cincinnati, OH 45226-1998
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Federal Fiscal Year:2001
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Peer Reviewed:False
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Source Full Name:Journal of the Acoustical Society of America
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Main Document Checksum:urn:sha-512:7dc847c09aedf140bc731323e8446b4703641ae07d6ad9e7b7238120dab30b8f7dcaa9b938d34d035f87873a0fe7fec262d5d13dcaf290925445e82b6de3b57d
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