Advanced Textile Technology ›› 2024, Vol. 32 ›› Issue (1): 108-118.

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Thermal-wet comfort evaluation of fire physical  training clothing based on EEG technology#br#

  

  1. 1a. College of Fashion Design & Engineering; 1b. Zhejiang Provincial Research Center of Fashion Engineering Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China; 2. Shaoxing Fire Rescue Detachment, Shaoxing 312000, China
  • Online:2024-01-10 Published:2024-01-30

基于脑电图技术的消防体能训练服热湿舒适性评价

  

  1. 1.浙江理工大学, a.服装学院;b.浙江省服装工程技术研究中心,杭州 310018;2.绍兴市消防救援支队,浙江绍兴 312000
  • 通讯作者: 郑晶晶,E-mail:zjj.cecily@163.com
  • 作者简介:任佳园(1998—),女,河南洛阳人,硕士研究生,主要从事服装舒适性方面的研究。
  • 基金资助:
    浙江理工大学研究生培养基金项目(2021)

Abstract: Fire physical training clothing is the base layer clothing that is most closely in contact with the skin during the daily training of firefighters. In the hot summer, firefighters have to spend a long time in a hot and humid environment for physical training. A large amount of physiological heat accumulates in the training suit, so that the ability of systemic circulation is reduced, resulting in heat regulation dysfunction. In severe cases, firefighters may experience dizziness, convulsions and other physiological reactions. In the process of visiting and researching Shengzhou Fire and Rescue Brigade in Shaoxing city, Zhejiang province and Baiyang Fire and Rescue Brigade in Hangzhou, Zhejiang province, we learned that firefighters hope to optimize the thermal-wet comfort performance of training clothing to improve their wearing comfort, improve heat stress problems, and improve training efficiency. However, in the past research on the comfort of fire physical training clothing, the traditional evaluation system is mainly used, and the results obtained have certain limitations.
To solve the problem of heat stress during firefighters' daily training and discuss the influence of phase change fabric on human thermal-wet comfort, this study is based on the research basis of electrophysiology and basic characteristics of EEG, and starts from the evaluation dimension of both objective EEG experiment and subjective perception. Firstly, the study conducts EEG monitoring experiments on the subjects in five different dressing states. The power spectral density of the subject is extracted by fast Fourier transform in frequency domain analysis. This study selects the average power spectral density of α wave and β wave, which can reflect the mental state of human brain as the index of EEG data to characterize the intensity of brain wave rhythm. Power spectrum analysis and statistical analysis are used to investigate the difference in intensity of α and β waves associated with mood. On this basis, the subjective score after normalization is used as the subjective comfort evaluation index, and the relationship between the subjective evaluation index and the objective EEG index is discussed by correlation analysis. On the whole, the state of dressing under hot and wet conditions affects the mood and comfort of the participants and the power spectral density of α and β waves can be used as the evaluation index of EEG. In the condition of wearing PCM fire physical training clothing, the intensity of α wave is the highest, the brain positive emotion is more than other states, the intensity of β wave is the least, and the tension and irritability are the least. The relationship between the subjective evaluation index and the EEG data index shows that the α wave intensity would be inhibited and the β wave intensity would be higher when the subjects thought that the humidity and heat sensation and discomfort caused by wearing the fire physical training suit are stronger.
Questionnaire survey is a traditional and important research method, and EEG technology can provide some technical help for objectively quantifying subjects' emotions. EEG data can provide more quantitative and objective data support. Through the analysis of the relationship between EEG data and subjective comfort evaluation index, the thermal and humid comfort feeling under different dressing conditions can be explored from both physiological and psychological dimensions. Such research results can provide reference for the study of clothing comfort evaluation by using EEG technology.

Key words: thermal-wet comfort, fire physical training clothing, phase change material, EEG technology, power spectral density, subjective assessment

摘要: 为解决消防员日常训练时的热应激问题,探讨相变面料对人体热湿舒适性的影响,运用脑电图技术分别记录受试者在5种穿着状态下的脑电波,同时进行主观舒适感评价。选取α波(8~13 Hz)和β波(14~30 Hz)的平均功率谱密度为脑电数据指标,以归一化处理后的舒适感评分为主观评价指标,利用功率谱分析和方差分析研究不同着装条件对人体脑波的影响,并利用相关性分析探讨客观脑电指标和主观评价指标之间的关系。结果表明:α波和β波的功率谱密度可以作为脑电评价指标,穿着PCM消防体能训练服状态下α波强度最大,大脑积极情绪多于其他状态;β波强度最小,紧张烦躁情绪最少。在主观评价实验中,当受试者认为穿着消防体能训练服带来的湿热感和不舒适感越强时,其α波强度会受到抑制,同时其β波强度越高。α波、β波强度可以作为服装热湿舒适性评价的心理生理学参数,脑电数据提供了更为客观和定量的数据支撑。

关键词: 热湿舒适性, 消防体能训练服, 相变面料, 脑电图技术, 功率谱密度, 主观评价

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