工业噪声对脑认知影响的功率谱估计分析

doi:10.16265/j.cnki.issn1003-3033.2021.03.025

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (3): 178-183.doi: 10.16265/j.cnki.issn1003-3033.2021.03.025

工业噪声对脑认知影响的功率谱估计分析

戚作秋^1,2 正高级工程师, 王宏¹ 教授, 赵小兵² 正高级工程师, 王翘秀¹

1 东北大学机械工程与自动化学院,辽宁沈阳 110819;
2 辽宁省安全科学研究院,辽宁沈阳 110004

收稿日期:2020-12-18 修回日期:2021-02-02 出版日期:2021-03-28 发布日期:2021-12-20
作者简介:戚作秋 (1979—),男,辽宁大连人,博士,正高级工程师,主要从事安全技术、职业卫生、人机工程、机械电子等方面的研究。E-mail:qizuoqiu888@126.com。
基金资助:
国家自然科学基金资助(51208282)。

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

QI Zuoqiu^1,2, WANG Hong¹, ZHAO Xiaobing², WANG Qiaoxiu¹

1 School of Mechanical Engineering and Automation, Northeastern University, Shenyang Liaoning 110819, China;
2 Liaoning Provincial Institute of Safety and Science, Shenyang Liaoning 110004, China

Received:2020-12-18 Revised:2021-02-02 Online:2021-03-28 Published:2021-12-20

摘要/Abstract

摘要： 为明确工业噪声对大脑认知的负面影响,采集火电厂球磨机的工业噪声,征集10名在校大学生在90 dB(A)的稳态工业噪声状态下及安静状态下的32导联脑电图(EEG)。采用傅里叶变换方法进行频域分析,提取δ频段、θ频段、α₁频段、α₂频段和β频段功率谱,并进行统计分析。结果表明:噪声环境与静音环境相比较,被试在δ频段、θ频段功率谱值明显增加,在α₁频段内,噪声状态的功率谱值高于静音状态,在α₂频段内正好相反。生产性噪声刺激可导致被试注意力分散,可通过各波段功率谱值或比率参数等评估噪声对认知的影响程度大小。

关键词: 工业噪声, 脑电图(EEG), 功率谱, 傅里叶变换, 脑地形图

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

中图分类号:

X910

戚作秋, 王宏, 赵小兵, 王翘秀. 工业噪声对脑认知影响的功率谱估计分析[J]. 中国安全科学学报, 2021, 31(3): 178-183.

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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工业噪声对脑认知影响的功率谱估计分析

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

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