NIOSHTIC-2 Publications Search

Model for noise-induced hearing loss using support vector machine.

Qiu-W; Ye-J; Liu-White-X; Hamernik-RP

J Acoust Soc Am 2005 Sep; 118(3)(Part 2):1896

http://dx.doi.org/10.1121/1.4779810

20034176

Contemporary noise standards are based on the assumption that an energy metric such as the equivalent noise level is sufficient for estimating the potential of a noise stimulus to cause noise-induced hearing loss (NIHL). Available data, from laboratory-based experiments indicate that while an energy metric may be necessary, it is not sufficient for the prediction of NIHL. A support vector machine(SVM)NIHL prediction model was constructed, based on a 550-subject (noise-exposed chinchillas) database. Training of the model used data from 367 noise-exposed subjects. The model was tested using the remaining 183 subjects. Input variables for the model included acoustic, audiometric, and biological variables, while output variables were PTS and cell loss. The results show that an energy parameter is not sufficient to predict NIHL, especially in complex noise environments. With the kurtosis and other noise and biological parameters included as additional inputs, the performance of SVM prediction model was significantly improved. The SVM prediction model has the potential to reliably predict noiseinduced hearing loss.

Noise-exposure; Noise-induced-hearing-loss; Hearing-loss; Hearing-impairment; Animal-studies; Laboratory-animals; Exposure-assessment; Exposure-levels; Models

Wei Qiu, PhD, Auditory Research Laboratory, State University of New York at Plattsburgh, 101 Broad Street, Plattsburgh, New York, 12901

JASMAN

20050901

Abstract

qiuw@plattsburgh.edu

Grant

2005

Grant-Number-R03-OH-008175; Grant-Number-R01-OH-007801

3

0001-4966

Disease and Injury: Hearing Loss

Journal of the Acoustical Society of America

NY