무작위 전신 진동으로 인한 뇌파 신호의 인공물 제거 및 착석 승객의 불편도 분석

Translated title of the contribution: Removal of Artifacts in EEG Signals due to Random Whole-Body Vibration and Analysis of Discomfort for Seated Passengers

Byoung Gyu Song, Namcheol Kang

Research output: Contribution to journalArticlepeer-review

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 contributionRemoval of Artifacts in EEG Signals due to Random Whole-Body Vibration and Analysis of Discomfort for Seated Passengers
Original languageKorean
Pages (from-to)21-27
Number of pages7
JournalTransactions of the Korean Society of Mechanical Engineers, A
Volume48
Issue number1
DOIs
StatePublished - Jan 2024

Keywords

  • Adaptive Filter
  • Electroencephalogram
  • Movement Artifact
  • Ride Comfort
  • Whole-body Vibration

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