HUMAN-CENTRIC NON-INVASIVE PHYSIOLOGICAL SENSING SYSTEM FOR EARLY DETECTION OF WORKERS? HEAT STRESS IN THE FIELD

以人为中心的无创生理传感系统早期检测 作业工人在野外的热应激 项目总结 热应激会突然将核心体温提高到安全阈值以上，关闭温度- 调节系统，并导致严重的器官衰竭，甚至死亡。热应激的长期后果 会增加患心血管疾病、呼吸系统疾病和慢性肾脏疾病的机会。到期 由于密集的体力劳动和防护服的使用，许多易受高温影响的行业的工人，如 由于建筑、消防和农场工作，在士兵和运动员等其他人群中，有一个 预防创伤性或灾难性热应激的一套有限的基本预防措施。另外，当前的 热应激法规是基于过于笼统的环境或工作条件，而不是特定于 个人。这些方法没有考虑到工人的身体和生理特征，它们可能 即使在相似的条件下或在工人对热暴露的反应相似的情况下，反应也不同 正经历着不同的情况。因此，任何用于早期热应激预测的详细方案几乎都是 完全缺失，热应激干预通常在暴露变得关键之后很好地发生。 该R21项目的总体目标是开发和评估以工人为中心的热应激 基于生理和环境信号的监测框架。这个系统预测工人的 持续解读生物信号和环境信号的工作场所热应激暴露 通过使用与上下文相关的、数据驱动的、实时的机器学习模型。这个项目 意在防止需要的劳动密集型行业的死亡和灾难性伤害，如脑损伤 改善热创伤程序，但缺乏敏感手段。因此，拟议的框架是关键的一步。 为实现NIOSH的关键战略目标6：“改善工作场所安全，减少创伤伤害” 部门21，采矿，中期目标6.9“过热暴露”和战略目标7：“促进安全 和健康的工作设计和福祉“为Nora部门23，建筑，中期目标7.1，”非 标准的工作安排。“拟议的研究将追求NIOSH的战略目标，遵循我们的特定 目标。第一个目标是设计和制造一种非侵入性无线生理传感系统，用于连续 生理反应的激发(光体积描记[PPG]、皮肤电活动[EDA]、 心电图[ECG]、皮肤温度[ST]和核心温度[TC])可以主要评估 工人的热应激暴露。第二个目标是开发基于生理的数据驱动框架，用于 工人热应激暴露的早期预测。第三个目标是评估开发的 在受控和自然环境中的无线传感系统和预测性数据驱动框架。 拟议的系统具有很高的潜力，可以通过触发 及时向工人反馈安全情况。拟议的系统还将允许新工人安全地开始他们的工作， 建立对炎热条件的耐受性，并适应工作场所。

HUMAN-CENTRIC NON-INVASIVE PHYSIOLOGICAL SENSING SYSTEM FOR EARLY DETECTION OF WORKERS' HEAT STRESS IN THE FIELD PROJECT SUMMARY Heat stress can abruptly raise the core body temperature above a safe threshold, shut down the temperature- regulating system, and result in severe organ failure and even death. Long-term consequences of heat stress can increase the chances of developing cardiovascular, respiratory diseases, and chronic kidney diseases. Due to intensive physical labor and the use of protective clothing, many workers in heat-vulnerable industries, such as construction, firefighting, and farm work, among other populations such as soldiers and athletes, have a limited set of fundamental precautions for preventing traumatic or catastrophic heat stress. Also, the current heat-stress regulations are based on overly general environmental or working conditions, not specific to individuals. These methods do not account for workers' physical and physiological characteristics, and they may reflect dissimilar responses to heat exposure even under similar conditions or similar responses when workers are experiencing different conditions. As a result, any detailed protocol for early heat stress prediction is almost entirely missing, and heat-stress interventions generally occur well after exposure becomes critical. The overarching goal of this R21 project is to develop and evaluate a worker-centered heat stress monitoring framework based on physiological and environmental signals. This system predicts workers' heat-stress exposure at job sites by continuously interpreting biosignals and environmental signals through the use of context-sensitive, data-driven, machine-learning models in real-time. This project intends to prevent deaths and catastrophic injuries such as brain damage in labor-intensive industries that need to improve heat-trauma procedures but lack sensitive means. As such, the proposed framework is a critical step towards reaching key NIOSH strategic goal 6: "improve workplace safety to reduce traumatic injuries" for NORA sector 21, mining, with intermediate goal 6.9, "excessive heat exposure," and strategic goal 7: "promote safe and healthy work design and well-being" for NORA sector 23, construction, with intermediate goal 7.1, "non- standard work arrangements." The proposed research will pursue NIOSH's strategic goals following our specific aims. The first aim is to design and fabricate a non-invasive wireless physiological sensing system for continuous elicitation of physiological responses (photoplethysmography [PPG], electrodermal activity [EDA], electrocardiogram [ECG], skin temperature [ST], and core temperature [Tc]) that can predominantly assess workers' heat-stress exposure. The second aim is to develop a physiologically based data-driven framework for early prediction of workers' heat stress exposure. The third aim is to evaluate the performance of the developed wireless sensing system and predictive data-driven framework in both a controlled and naturalistic environment. The proposed system has a high potential to prevent workers from severe heat-related injuries by triggering safety feedbacks to workers timely. The proposed system will also allow new workers to safely start their job, build up a tolerance for hot conditions, and acclimatize to the workplace.