Evoked otoacoustic emissions in workers exposed to noise: A review

Alcarás, Patrícia Arruda de Souza; Lüders, Débora; França, Denise Maria Vaz Romano; Klas, Regina Maria; Lacerda, Adriana Bender Moreira de; Gonçalves, Cláudia Giglio de Oliveira

doi:10.7162/s1809-97772012000400014

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Besides, excessive noise exposure has become extensively accused as a destructive agent and the main hazard issue among employees in several industries [ 55 ]. Various studies have shown that noise, vibration, and shift labour are hazardous factors in the workplace that consume highly damaging effects on employees’ health [ 34 ]. Due to the rapid growth of the economy and urbanization, the effects of environmental noise pollution have become even more intense [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction

Hamid

Sallehuddin

Yunos

et al. 2023

Neural Comput & Applic

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Discovering a hearing disorder at an earlier intervention is critical for reducing the effects of hearing loss and the approaches to increase the remaining hearing ability can be implemented to achieve the successful development of human communication. Recently, the explosive dataset features have increased the complexity for audiologists to decide the proper treatment for the patient. In most cases, data with irrelevant features and improper classifier parameters causes a crucial influence on the audiometry system in terms of accuracy. This is due to the dependent processes of these two, where the classification accuracy performance could be worsened if both processes are conducted independently. Although the filter algorithm is capable of eliminating irrelevant features, it still lacks the ability to consider feature reliance and results in a poor selection of significant features. Improper kernel parameter settings may also contribute to poor accuracy performance. In this paper, an ensemble filters feature selection based on Information Gain (IG), Gain Ratio (GR), Chi-squared (CS), and Relief-F (RF) with harmonize optimization of Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) is presented to mitigate these problems. Ensemble filters are utilized so that the initial top dominant features relevant for classification can be considered. Then, PSO and SVM are optimized simultaneously to achieve the optimal solution. The results on a standard Audiology dataset show that the proposed method produces 96.50% accuracy with optimal solution compared to classical SVM, which signifies the proposed method is effective in handling high dimensional data for hearing disorder prediction.

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Section: Introductionmentioning

confidence: 99%

Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction

Hamid

Sallehuddin

Yunos

et al. 2023

Neural Comput & Applic

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The Effect of Short-Term Noise Exposure on Audiometric Thresholds, Distortion Product Otoacoustic Emissions, and Electrocochleography

Lake

Stuart

2019

J Speech Lang Hear Res

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Purpose The purpose of the study was to examine the effect of short-term noise exposure on audiometric thresholds, distortion product otoacoustic emissions (DPOAEs), and electrocochleography (ECochG) as a function of ear and sex. Method Preexposure and postexposure measures of audiometric thresholds, DPOAEs, and ECochG indices were examined. Sixteen male and 16 female adults participated. Participants were exposed to a 2000-Hz narrowband noise presented at 105 dBA for 10 min. Results Following noise exposure, significantly ( p < .0001) larger auditory threshold differences were observed for left ears. Larger auditory threshold differences were also observed for 3000 and 4000 Hz versus 2000 and 6000 Hz. DPOAE absolute amplitude differences increased with decreasing L 1 , L 2 level ( p < .0001). DPOAE absolute amplitude differences also significantly rose with increasing f 2 frequencies ( p < .0001). Females generally had larger DPOAE absolute amplitude differences than males ( p < .05). Summating potential amplitudes were significantly larger for female left ears following noise exposure ( p = .03). Left-ear summating potential/action potential amplitude ratios and summating potential/action potential area ratios were increased following noise exposure ( p < .05). Conclusions Utilizing a test battery to examine the effects of short-term noise exposure can reveal the functional status of different structures in the cochlea. There appears to be a susceptibility of the left ear to short-term loud noise exposure. Findings with respect to a sex susceptibility to short-term loud noise exposure were not strong, as sex differences were only observed for a subset of the conditions.

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Evaluation of auditory disability and cochlear functions in industrial workers exposed to occupational noise

Söylemez

Müjdeci

2020

Hearing, Balance and Communication

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Evoked otoacoustic emissions in workers exposed to noise: A review

Cited by 3 publications

References 17 publications

Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction

Ensemble filters with harmonize PSO–SVM algorithm for optimal hearing disorder prediction

The Effect of Short-Term Noise Exposure on Audiometric Thresholds, Distortion Product Otoacoustic Emissions, and Electrocochleography

Evaluation of auditory disability and cochlear functions in industrial workers exposed to occupational noise

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