Statistical Analysis of Noise-induced Brain Electrical Activity of Employees in the Underground Mining Sector in the Soma Basin

Year 2022, , 331 - 339, 29.09.2022

Ayla Tekin , Mustafa Oğuz Nalbant , Mustafa Orhan , Fırat Tekin , Fatih Suvaydan , Kemal Berki , Sami Gümüş , Aslı Aydın Savran

https://doi.org/10.18466/cbayarfbe.1114348

Cited By: 1

Abstract

In the mining sector, which requires a lot of attention, excessive noise pollution is encountered during the works due to the use of mining machines, and this is observed as one of the most important factors causing various problems for the personnel working in underground mining.
The study investigated the neurological effects of instantaneous noise exposure and exposure to noise on workers' health in the underground mining sector using electroencephalography (EEG) device. Firstly, the noises that underground workers are exposed to in different working areas were determined. The brain’s electrical activities were measured at periodic intervals under the noise of one hundred people who work or will work in the mining industry. Their relationship with occupational noise exposure was analyzed statistically. As a result of these measurements, the values collected in noise-free and noisy environments were compared.

Keywords

Noise Effect, Underground Mining, Occupational Health, Statistical Analysis, EEG

Supporting Institution

Manisa Celal Bayar University Scientific Research Projects Coordination Unit

Project Number

2019-083

Thanks

This study was supported by Manisa Celal Bayar University Scientific Research Projects Coordination Unit within the scope of project no 2019-083.

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