Beat the heat: wearable-based study of perceived heat stress and physiological strain in Swiss track workers in a controlled climate chamber.

IF 2.3 4区 医学 Q3 BIOPHYSICS Physiological measurement Pub Date : 2024-11-24 DOI:10.1088/1361-6579/ad9683
Cristina Gallego Vazquez, Manuel Fujs, Michael F Koller, Peter Wolf, Giulia Da Poian
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Abstract

Increasing temperatures pose new challenges for track workers, who endure prolonged exposure to extreme heat and humidity. New methods are critically needed to assess their performance and heat tolerance, aiming to mitigate workplace accidents and long-term health consequences. This study aimed to investigate the physiological effects of heat exposure on track workers, using wearable sensors to monitor key physiological parameters under controlled environmental conditions. Nineteen track workers participated in the study, which included two experimental sessions simulating different thermal environments: a typical Swiss summer night and a hot summer day. Participants' core body temperature, heart rate (HR), and skin temperature were monitored using wearable sensors, and physiological indexes were computed. In addition, Perceptual Strain Index (PeSI) and Psychomotor Vigilance Task (PVT) response times were recorded. Statistically significant increases in physiological parameters were observed under hotter conditions. The study identified statistically significant correlations between the PeSI and the PSI and between PeSI and HR. Perceptual scores were consistently higher than the values derived from physiological measurements, suggesting a greater subjective experience of heat strain. The PVT response times were higher on the hotter day, reflecting increased cognitive strain due to heat exposure. The study highlights the critical impact of heat stress on track workers, with statistically significant increases in physiological and cognitive strain under higher temperatures. Future research should focus on real-world applications of heat strain monitoring.

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战胜酷暑:基于可穿戴设备的瑞士轨道交通工人在受控气候室中的热压力和生理压力感知研究。
气温不断升高给长期暴露在酷热和潮湿环境中的轨道工人带来了新的挑战。亟需新的方法来评估他们的工作表现和耐热性,以减少工伤事故和对健康的长期影响。这项研究旨在调查高温暴露对赛道工人的生理影响,使用可穿戴传感器监测受控环境条件下的关键生理参数。19 名轨道工人参加了这项研究,其中包括两个模拟不同热环境的实验环节:典型的瑞士夏夜和炎热的夏日。参与者的核心体温、心率(HR)和皮肤温度均通过可穿戴传感器进行监测,并计算生理指标。此外,还记录了感知应变指数(PeSI)和精神运动警觉任务(PVT)的反应时间。据统计,在较热的条件下,生理参数会明显增加。研究发现 PeSI 与 PSI 之间以及 PeSI 与心率之间存在统计学意义上的显著相关性。感知评分始终高于生理测量值,这表明热应变的主观体验更强。热天的 PVT 反应时间更长,这反映了热暴露造成的认知负荷增加。这项研究强调了热应激对轨道工人的重要影响,在较高温度下,生理和认知应变在统计学上显著增加。未来的研究应侧重于热应变监测在现实世界中的应用。
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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
期刊最新文献
Telephone training to improve ECG quality in remote screening for atrial fibrillation. Amplitude spectrum area is dependent on the electrocardiogram magnitude: evaluation of different normalization approaches. Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices. Beat the heat: wearable-based study of perceived heat stress and physiological strain in Swiss track workers in a controlled climate chamber. A skewed-Gaussian model for pulse decomposition analysis of photoplethysmography signals.
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