Evaluation and analysis on influence of industrial noise on brain cognition based on EEG power spectrum

doi:10.16265/j.cnki.issn1003-3033.2021.03.025

Abstract

Abstract: In order to clarify negative impact of industrial noise on brain cognition, noise of ball mills in a thermal power plant was collected, and 32-channel EEG signals of 10 college students under steady-state industrial noise (90 dB(A)) and quiet state were recorded. Then, Fourier transform Welch method was used to analyze data in frequency domain, and power spectrum of δ band, θ band, α₁ band, α₂ band and β band was extracted for statistical analysis. The results show that power spectrum is significantly increased in δ and θ frequency bands in noisy environment than silent one. And in frequency band α₁, its value in noise state is higher than silent state, but the opposite in band α₂. Stimuli of productive noise can cause subjects to distract, and its impact on cognition can be evaluated by power spectrum value or ratio parameter in each band.

Key words: industry noise, electroencephalogram (EEG), power spectrum, Fourier transform, brain topographic map

CLC Number:

X910

QI Zuoqiu, WANG Hong, ZHAO Xiaobing, WANG Qiaoxiu. Evaluation and analysis on influence of industrial noise on brain cognition based on EEG power spectrum[J]. China Safety Science Journal, 2021, 31(3): 178-183.

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