Abstract
Whole-body vibration-induced discomfort has long been assessed using self-reports and accelerations. In contrast to previous studies, we analyzed vibration-induced discomfort through stress analysis of electroencephalogram (EEG) signals. Head acceleration and EEG signals were measured from 22 seated participants excited to random vibration. Before stress analysis, a strong correlation between EEG and acceleration signals was observed and removed using an adaptive filter. Stress analysis was performed using alpha asymmetry and relative alpha band power in the frontal lobe. Through the stress analysis, we confirmed that whole-body vibration induces mental stress and that stress increases with increasing magnitude. The results and methodology of this study are expected to be used for ride comfort assessment alongside existing self-report and acceleration methods.
Translated title of the contribution | Removal of Artifacts in EEG Signals due to Random Whole-Body Vibration and Analysis of Discomfort for Seated Passengers |
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Original language | Korean |
Pages (from-to) | 21-27 |
Number of pages | 7 |
Journal | Transactions of the Korean Society of Mechanical Engineers, A |
Volume | 48 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2024 |
Keywords
- Adaptive Filter
- Electroencephalogram
- Movement Artifact
- Ride Comfort
- Whole-body Vibration