Acoustic comfort evaluation of high-speed trains in tunnels based on EEG signals

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Authors: Moukai Liu, Xinbiao Xiao, Jian Han, Qirui Wu, Qirui Wu
Cited by: 1
References: 23

Abstract

This study focuses on the acoustic comfort evaluation of high-speed train operating in tunnels based on electroencephalogram (EEG) signals. Field tests were conducted on a specific high-speed train at various speeds and different measurement points to collect interior noise data as the acoustic samples. These acoustic samples were then used for EEG tests on individuals, to capture participants' EEG responses. Following preprocessing and denoising of the EEG signals, features such as the power of different rhythms and sample entropy were extracted. The study analyzed the correlation between EEG features and psychological acoustic annoyance, the adopted indicator of acoustic comfort, and performed time-frequency characteristic analysis to observe the changes in EEG signals in different operating environments (Open lines and tunnels).

Fields of Study & Subjects

Vehicle Noise and Vibration Control Sleep and Work-Related Fatigue Aerodynamics and Fluid Dynamics Research

Publication details

Journal / source
Journal of low frequency noise, vibration and active control
Publisher
SAGE Publications
Volume
45
Issue
3
Pages
2019-2033
Publication date
18 April 2026
Language
EN