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

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。

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.