Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

차량 주행 환경에서 무선 건식 전극 EEG와 유선 습식 전극 EEG 시스템의 신호품질 비교Signal Quality Comparison of Wireless Dry and Wired Wet EEG Systems in Driving Conditions

Other Titles
Signal Quality Comparison of Wireless Dry and Wired Wet EEG Systems in Driving Conditions
Authors
김성현양재식김청운임창환에르잔 알틴소이
Issue Date
Jun-2025
Publisher
한국소음진동공학회
Keywords
뇌전도; 건식 전극; 습식 전극; 차량 주행환경; 신호 품질; 아티팩트; Electroencephalography; Dry Electrode; Wet Electrode; Driving Environments; Signal Quality; Artifact
Citation
한국소음진동공학회논문집, v.35, no.3, pp 253 - 267
Pages
15
Indexed
KCI
Journal Title
한국소음진동공학회논문집
Volume
35
Number
3
Start Page
253
End Page
267
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/207961
DOI
10.5050/KSNVE.2025.35.3.253
ISSN
1598-2785
2287-5476
Abstract
This study comparatively evaluated the signal quality of wireless dry electrode and wired wet electrode electroencephalography (EEG) systems with active electrodes in real road driving environments, focusing on artifact occurrence and low frequency noise. In contrast to many existing studies conducted under laboratory or relatively mild motion conditions, this study used an electric vehicle to examine four distinct driving scenarios: inside and outside the vehicle before driving, regular driving, and dynamic driving. Through these scenarios, we assessed the performance of each EEG system under stronger vehicle vibrations and movements. The experimental results show that the wireless dry electrode EEG system offers convenience and high mobility, making it potentially suitable for real time on-the-move applications. However, it is more sensitive to artifacts and low frequency noise, particularly during dynamic driving, where signal quality is notably affected. In contrast, the wired wet electrode EEG system with active electrodes demonstrates superior signal stability and artifact removal capability, maintaining reliable data even amid significant vehicle vibrations. Despite its excellent signal quality, its more complex wearability and limited mobility make it less practical for real time use. The findings suggest that dry EEG systems are better suited for static conditions, whereas wet EEG systems with active electrodes are more appropriate for dynamic conditions, such as engine sound evaluation, NVH assessment, ride quality analysis, occupant emotion and sleep monitoring, and motion sickness studies.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > ETC > 1. Journal Articles
서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Im, Chang Hwan photo

Im, Chang Hwan
COLLEGE OF ENGINEERING (서울 바이오메디컬공학전공)
Read more

Altmetrics

Total Views & Downloads

BROWSE