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Review Article

Measurements of physiological responses to noise-induced stress: A scoping review

소음 스트레스 생체 반응 측정 방법에 대한 주제범위 문헌고찰

Jihyun Cheon1
,
You Jeong Hong2
,
Hye Jin Shin1
,
Eunju Jeong12*
천 지현1
,
홍 유정2
,
신 혜진1
,
정 은주12*
1이화여자대학교 대학원 음악치료학과
2이화여자대학교 이화뮤직웰니스연구센터
*Corresponding Author
30 November 2024. pp. 686-700
PDF XML Citation
Abstract

Noise induces discomfort and stress, affecting overall behavioral functions. Various attempts has been made to quantify noise-related stress, with the measurement of physiological responses gaining particular attention for its potential to detect stress before conscious awareness. Despite the advantages of using physiological responses, a consensus has not been reached, possibly due to the heterogeneity in experimental-related factors such as settings, design, methods, and individual differences. The present study aimed to review studies that employed physiological responses to measure noise-related stress. Using keywords such as “Noise,” “Stress,” “Electroencephalogram (EEG),” “Electrocardiogram (ECG),” and “Photoplethysmogram (PPG),” we conducted a literature search in PubMed and Web of Science to identify studies from the past six years. Eighteen studies meeting selection criteria were analyzed through a scoping review method, focusing on general characteristics, noise properties, physiological measurements and indicators, and physiological indicators specific to noise type. Results showed that most studies involved adult participants in their 20s (average 28.5), used laboratory noise exposure via speakers alongside cognitive tasks to induce stress. EEG indicators included frequency band amplitudes, while ECG metrics covered heart rate, heart rate variability, and high frequency/low frequency ratios. The EEG and ECG responses to noise stress varied by noise type, with distinct differences in EEG frequency band indicators and ECG variability metrics. These findings suggest that diverse physiological responses can be effectively used as evaluation metrics for noise management and noise-related stress reduction technologies.

Keywords
Noise, Stress
Physiological responses
Electroencephalogram (EEG)
Electrocardiogram (ECG)
Photoplethysmogram (PPG)

소음은 불쾌감을 유발하며 인간의 전반적인 행동기능에 영향을 미친다. 소음으로 인한 스트레스를 정량화하려는 다양한 시도가 지속되고 있으며, 생체반응은 자각 이전의 스트레스를 감지 및 추적할 수 있다는 점에서 잠재적 지표로 주목받고 있다. 하지만, 관련 선행 연구를 살펴보면 소음의 유형, 실험 환경 및 설계, 측정 지표 및 방법 등으로 인하여 합의된 결과를 도출하기 어려운 실정이다. 본 연구의 목적은 소음에 의해 유발된 스트레스를 생체 반응으로 측정한 연구를 분석하여, 소음의 유형에 따른 스트레스의 생체 반응과 그 경향을 고찰하는데 있다. PubMed와 Web of Science에서 ‘Noise’, ‘Stress’, ‘뇌전도(Electroencephalogram, EEG)’, ‘심전도(Electrocardiogram, ECG)’, ‘광혈류(Photoplethysmogram, PPG)’ 등의 핵심어를 사용하여 최근 6년간의 문헌을 검색하고 선정 기준에 부합하는 18편의 연구를 선정한 후, 주제범위 문헌고찰 방법으로 문헌의 일반적 특성, 소음의 특성, 측정방법 및 지표, 생체 반응의 경향, 소음 유형에 차별화된 생체지표에 대해 분석하였다. 분석 결과, 20대 성인 대상자, 평균 28.5명을 대상으로, 실험실 환경에서 스피커를 통하여 소음이 제시되었으며, 소음과 함께 인지 과제를 사용하여 스트레스를 유발하였다. 소음 스트레스 지표로 EEG의 경우 주파수 대역별 신호의 크기, ECG의 경우 심박수, 심박 변이도, 고주파-저주파 비율을 사용하였다. 소음 스트레스에 대한 EEG와 ECG 지표별 반응 분석 결과, 소음의 유형에 따라 EEG 주파수 대역별 지표와 ECG 변이도 지표가 상이한 것으로 나타났다. 이러한 결과는 다양한 생체 지표와 반응이 효과적인 소음 관리와 소음 저감 기술의 평가지표로서 활용될 수 있음을 시사한다.

키워드
소음
스트레스
생체반응
뇌전도 (Electroencephalogram, EEG)
심전도 (Electrocardiogram, ECG)
광혈류 (Photoplethysmogram, PPG)
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 43
  • No :6
  • Pages :686-700
  • Received Date : 2024-09-21
  • Revised Date : 2024-11-05
  • Accepted Date : 2024-11-07
  • DOI :https://doi.org/10.7776/ASK.2024.43.6.686
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