Effect of psychoacoustic annoyance on EEG signals of tractor drivers

IF 0.6 4区 物理与天体物理 Q4 ACOUSTICS
M. Lashgari, M. Arab, Mohsen Nadjafi, Mojtaba Rafiee
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引用次数: 0

Abstract

The purpose of this study was to evaluate the psychoacoustic annoyance (PA) that the tractor drivers are exposed to, and investigate its effects on their brain signals during their work activities. To this aim, the sound of a garden tractor was recorded. Each driver’s electroencephalogram (EEG) was then recorded at five different engine speeds. The Higuchi method was used to calculate the fractal dimension of the brain signals. To evaluate the amount of acoustic annoyance that the tractor drivers were exposed to, a psychoacoustic annoyance (PA) model was used. The results showed that as the engine speed increased, the values of PA increased as well. The results also indicated that an increase in the Higuchi’s fractal dimension (HFD) of alpha and beta bands was due to the increase of the engine speed. The regression results also revealed that there was a high correlation between the HFD of fast wave activities and PA, in that, the coefficients of determination were 0.92 and 0.91 for alpha and beta bands, respectively. Hence, a good correlation between the EEG signals and PA can be used to develop a mathematical model which quantifies the human brain response to the external stimuli.
心理声干扰对拖拉机驾驶员脑电图信号的影响
本研究的目的是评估拖拉机司机在工作过程中所受到的心理声干扰,并探讨其对其脑信号的影响。为此,我们录制了园艺拖拉机的声音。然后记录每个驾驶员在五种不同发动机转速下的脑电图(EEG)。采用Higuchi方法计算脑信号的分形维数。为了评估拖拉机司机的声干扰程度,采用了心理声干扰(PA)模型。结果表明,随着发动机转速的增加,PA值也随之增加。结果还表明,α和β波段的Higuchi分形维数(HFD)的增加是由于发动机转速的增加。回归结果还显示,快波活度HFD与PA之间存在较高的相关性,α和β波段的决定系数分别为0.92和0.91。因此,EEG信号和PA之间的良好相关性可以用来建立一个数学模型来量化人类大脑对外部刺激的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Archives of Acoustics
Archives of Acoustics 物理-声学
CiteScore
1.80
自引率
11.10%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Archives of Acoustics, the peer-reviewed quarterly journal publishes original research papers from all areas of acoustics like: acoustical measurements and instrumentation, acoustics of musics, acousto-optics, architectural, building and environmental acoustics, bioacoustics, electroacoustics, linear and nonlinear acoustics, noise and vibration, physical and chemical effects of sound, physiological acoustics, psychoacoustics, quantum acoustics, speech processing and communication systems, speech production and perception, transducers, ultrasonics, underwater acoustics.
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