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使用脑电图测量分析异质道路交通噪声暴露导致的脑电波变化

Analysing the Change in Brain Waves due to Heterogeneous Road Traffic Noise Exposure Using Electroencephalography Measurements.

作者信息

Manohare Manish, Rajasekar E, Parida Manoranjan

机构信息

Department of Architecture and Planning, Indian Institute of Technology, Roorkee, India.

Department of Civil Engineering, Indian Institute of Technology, Roorkee, India.

出版信息

Noise Health. 2023 Jan-Mar;25(116):36-54. doi: 10.4103/nah.nah_58_22.

DOI:10.4103/nah.nah_58_22
PMID:37006115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10301920/
Abstract

Road traffic is the major source of noise pollution leading to human health impacts in urban areas. This study presents the relation between changes in human brain waves due to road traffic noise exposure in heterogeneous conditions. The results are based on Electroencephalogram (EEG) data collected from 12 participants through a listening experience of traffic scenarios at 14 locations in New Delhi, India. Energetic, spectral and temporal characteristics of the noise signals are presented. The impact of noise events on spectral perturbations and changes in the relative power (RP) of EEG signals are evaluated. Traffic noise variations modulate the rate of change in α and θ EEG bands of temporal, parietal and frontal lobe of the brain. The magnitude of event-related spectral perturbation (ERSP) increases with each instantaneous increase in traffic noise, such as honking. Individual noise events impact the temporal lobe more significantly in quieter locations compared with noisy locations. Increase in loudness changes the RP of α band in frontal lobe. Increase in temporal variation due to intermittent honking increases the RP of θ bands, especially in right parietal and frontal lobe. Change in sharpness leads to variation in the RP of right parietal lobe in theta band. Whereas, inverse relation is observed between roughness and the RP of right temporal lobe in gamma band. A statistical relationship between noise indicators and EEG response is established.

摘要

道路交通是城市地区导致人类健康受到影响的主要噪声污染源。本研究呈现了在不同条件下,因道路交通噪声暴露导致的人脑电波变化之间的关系。研究结果基于从12名参与者收集的脑电图(EEG)数据,这些数据来自于印度新德里14个地点的交通场景聆听体验。文中呈现了噪声信号的能量、频谱和时间特征。评估了噪声事件对频谱扰动以及脑电图信号相对功率(RP)变化的影响。交通噪声变化调节了大脑颞叶、顶叶和额叶脑电图α和θ波段的变化率。与鸣笛等交通噪声的每一次瞬时增加相伴,事件相关频谱扰动(ERSP)的幅度都会增大。与嘈杂地点相比,在较安静的地点,单个噪声事件对颞叶的影响更为显著。响度增加会改变额叶α波段的相对功率。由于间歇性鸣笛导致的时间变化增加会增加θ波段的相对功率,尤其是在右顶叶和额叶。锐度变化会导致θ波段右顶叶相对功率的变化。然而,粗糙度与γ波段右颞叶相对功率之间存在反比关系。建立了噪声指标与脑电图响应之间的统计关系。

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