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首页> 外文期刊>Journal of applied physiology >Wearable physiological monitoring for human thermal-work strain optimization
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Wearable physiological monitoring for human thermal-work strain optimization

机译:人体热工应变优化的可穿戴生理监测

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Safe performance limits of soldiers and athletes have typically relied on predictive work-rest models of ambient conditions, average work intensity, and characteristics of the population. Bioengineering advances in noninvasive sensor technologies, including miniaturization, reduced cost, power requirements, and comfort, now make it possible to produce individual predictions of safe thermal-work limits. These precision medicine assessments depend on the development of thoughtful algorithms based on physics and physiology. Both physiological telemetry and thermal-strain indexes have been available for 50 years, but greater computing power and better wearable sensors now make it possible to provide actionable information at the individual level. Core temperature can be practically estimated from time series heart rate data and, using an adaptive physiological strain index, provides meaningful predictions of safe work limits that cannot be predicted from only core temperature or heart rate measurements. Early adopters of this technology include specialized occupations where individuals operate in complete encapsulation such as chemical protective suits. Emerging technologies that focus on heat flux measurements at the skin show even greater potential for estimating thermal-work strain using a parsimonious sensor set. Applications of these wearable technologies include many sports and military training venues where inexperienced individuals can learn effective work pacing strategies and train to safe personal limits. The same strategies can also provide a technologically based performance edge for experienced workers and athletes faced with novel and nonintuitive physiological challenges, such as health care providers in full protective clothing treating Ebola patients in West Africa in 2014.
机译:士兵和运动员的安全性能限制通常依赖于环境条件的预测工作休息模型,平均工作强度和人口的特征。非侵入式传感器技术的生物工程进展,包括小型化,降低成本,功率要求和舒适,现在可以产生对安全热工作限制的个人预测。这些精密医学评估依赖于基于物理和生理学的周到算法的发展。生理遥测和热应变指数都是可用的,但是50年来,但更大的计算能力和更好的可穿戴传感器现在可以在个人级别提供可操作的信息。核心温度可以从时间序列心率数据估计,并且使用自适应生理应变指数,提供有意义的安全工作限制的预测,这是不能仅从核心温度或心率测量中预测的。本技术的早期采用者包括特殊职业,个人在完全封装中运行,如化学防护服。专注于皮肤热通量测量的新兴技术表明,使用令人估计传感器套装估计热工作应变的潜力更大。这些可穿戴技术的应用包括许多体育和军事训练场地,缺乏经验的个人可以学习有效的工作起搏策略和火车以安全的个人限制。同样的策略还可以为经验丰富的工人和运动员提供技术上的表现优势,面临着新的和非直接生理挑战,例如2014年在西非治疗西非的埃博拉患者的全保护服装的医疗保健提供者。

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