Department of Geography & Planning, Appalachian State University, Boone, NC, USA.
Department of Geosciences, Mississippi State University, Mississippi State, MS, USA.
Environ Res. 2020 Jan;180:108858. doi: 10.1016/j.envres.2019.108858. Epub 2019 Oct 31.
The impacts of heat on human health has sparked research on different approaches to measure, map, and predict heat exposure at more accurate and precise spatiotemporal scales. Personal heat sensor studies rely on small sensors that can continuously measure ambient temperatures as individuals move through time and space. The comparison between different types of sensors and sensor placements have yet to be fully researched. The objective of this study is to assess the validity of personal ambient temperature sensors. To accomplish this objective, we evaluated the performance of multiple low-cost wearable sensors (HOBOs, iButton Thermochrons, iButton Hygrochrons, and Kestrel DROP D3FW Fire) for measuring ambient temperature in a (1) field exposure study by varying the placement on human subjects and in a (2) field calibration study by co-locating sensors with fixed site weather station monitors. A secondary aim involved investigating consensus between validation metrics that can be used in future sensor comparison studies. Bland-Altman analysis, correlation coefficients, and index of agreement statistics were used to quantify the difference between sensor and weather station ambient temperature measurements. Results demonstrated significant differences in measured temperatures for sensors based on sensor type and placement on participants. Future research should account for the differences in personal ambient temperature readings based on sensor type and placement.
热对人体健康的影响促使人们研究在更精确和精细的时空尺度上测量、绘制和预测热暴露的不同方法。个人热传感器研究依赖于能够在个人随时间和空间移动时连续测量环境温度的小型传感器。不同类型的传感器和传感器位置之间的比较尚未得到充分研究。本研究的目的是评估个人环境温度传感器的有效性。为了实现这一目标,我们评估了多种低成本可穿戴传感器(HOBO、iButton Thermochrons、iButton Hygrochrons 和 Kestrel DROP D3FW Fire)在(1)通过改变人体受试者位置的现场暴露研究中和(2)通过将传感器与固定位置气象站监测器共置的现场校准研究中的环境温度测量性能。次要目标涉及调查可用于未来传感器比较研究的验证指标之间的一致性。 Bland-Altman 分析、相关系数和一致性指数统计用于量化传感器和气象站环境温度测量之间的差异。结果表明,基于传感器类型和参与者位置的传感器测量温度存在显著差异。未来的研究应根据传感器类型和位置的不同,考虑个人环境温度读数的差异。