Updated on 2026/02/18

写真a

 
MARUNO Yuki
 
Organization
Faculty of Business Data Science Associate Professor
Title
Associate Professor
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Degree

  • 博士(工学) ( 奈良先端科学技術大学院大学 )

Research Interests

  • 機械学習

Papers

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Research Projects

  • Development of Heat Stroke Alert System by Wearable Device

    Grant number:19H04501  2019.4 - 2023.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

    Fujiwara Koichi

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    Grant amount:\15990000 ( Direct Cost: \12300000 、 Indirect Cost:\3690000 )

    Preventing severe heat illness, called heatstroke, is crucial because it can lead to long-term multiple organ damage, including the brain, and results in more than 600 deaths per year in the United States. It has been reported that heat stress affects heart rate variability (HRV), which is the fluctuations of the R-R interval (RRI) on an electrocardiogram (ECG). We propose a method for detecting symptoms of heat illness based on HRV analysis in order to prevent exacerbation of heat illness. In the proposed method, monitoring abnormal changes in HRV caused by heat stress is monitored. To validate the proposed method, we recruited 103 healthy volunteers with risks of heat illness development. The result of applying the proposed method showed that a sensitivity of 75% (21 out of 28 cases) and a false-positive rate of 1.02 times per hour were achieved.

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