Estimating core body temperature based on human thermal model using wearable sensors

Estimating core body temperature based on human thermal model using wearable sensors
复制标题

DOI:
10.1145/2695664.2695765
复制
发表时间:
2015-04
期刊:
Proceedings of the 30th Annual ACM Symposium on Applied Computing
影响因子:
--
通讯作者:
Takashi Hamatani;Akira Uchiyama;T. Higashino
Takashi Hamatani;Akira Uchiyama;T. Higashino
中科院分区:
其他
文献类型:
--
作者:
Takashi Hamatani;Akira Uchiyama;T. Higashino

文献摘要

被引文献

相似文献

监测身体核心温度对预防中暑很重要。核心温度通常测量为直肠或鼓膜温度,这在活动期间难以监测。在本文中,我们提出了一种方法来估计核心温度的基础上的两个节点的人体热模型,通过使用可穿戴传感器。为了准确估计,通过比较传感器测量值和基于两节点模型的仿真结果来过滤代表个体差异的不可行参数值集。对7名受试者的真实的实验表明,该方法对步行60分钟的核心温度估计误差为-0. 07 ° C。
Monitoring body core temperature is important to prevent heat stroke. Core temperature is often measured as rectal or tympanic temperature which is difficult to monitor during activities. In this paper, we propose a method to estimate core temperature based on the two-node human thermal model by using wearable sensors. For accurate estimation, infeasible sets of parameter values representing individual differences are filtered by comparing sensor measurements and simulation results based on the two-node model. The real experiments with 7 subjects have revealed that the proposed method achieves --0.07°C error in core temperature estimation for 60 minute walking.