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Title
Japanese: 
English:Body Core Temperature Estimation Using New Compartment Model with Vital Data from Wearable Devices 
Author
Japanese: 平田晃正, 宮澤太機, 上松涼太, 小寺紗千子, 橋本優生, 高河原和彦, 樋口雄一, 都甲浩芳, 川原貴, 田中英登.  
English: Akimasa Hirata, Taiki Miyazawa, Ryota Uematsu, Sachiko Kodera, Yuki Hashimoto, Kazuhiko Takagahara, Yuichi Higuchi, Hiroyoshi Togo, Takashi Kawahara, Hideto Tanaka.  
Language English 
Journal/Book name
Japanese: 
English:IEEE Access 
Volume, Number, Page Vol. 9        pp. 124452-124462
Published date Sept. 3, 2021 
Publisher
Japanese: 
English:IEEE 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://ieeexplore.ieee.org/abstract/document/9529195
 
DOI https://doi.org/10.1109/ACCESS.2021.3110252
Abstract With increasing heat-wave frequency, the prevention and public awareness of heat-related illnesses has become an essential topic. In the standard for heat strain and stress, empirical guidelines to prevent excess core temperature rise above 1 °C have been prescribed for workers. However, measuring core temperature change in our daily life or working place is not straightforward. The estimation of core temperature from measured vital signals in a non-invasive manner is thus essential for the management of heat stress or strain. Here, we propose an estimation method for core temperature change by a simplified thermodynamics model with the measured heart rate and ambient conditions (temperature and relative humidity). Our proposed model is based on a two-layer two-compartment model with tuned parameters, which were derived from comparison between the computations using high-resolution anatomical human body model. Our model exhibited good agreement with the measured core temperature rise; the computed and measured core temperature rise for the naked trial were 0.54 °C and 0.53 °C, whereas those for the clothed trial were 0.70 °C, and 0.71 °C, respectively. Furthermore, our compartment model with vital data measured from a wearable device achieved good estimation in real time for field measurement in addition to computational replication with a previous study.

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