2022 Fiscal Year Final Research Report
Development of Heat Stroke Alert System by Wearable Device
| Project/Area Number |
19H04501
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 90150:Medical assistive technology-related
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| Research Institution | Nagoya University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
久保 孝富 奈良先端科学技術大学院大学, 先端科学技術研究科, 准教授 (20631550)
丸野 由希 京都女子大学, 現代社会学部, 准教授 (20757760)
加納 学 京都大学, 情報学研究科, 教授 (30263114)
山川 俊貴 熊本大学, 大学院先端科学研究部(工), 准教授 (60510419)
佐藤 大典 大阪体育大学, スポーツ科学センター, 研究員 (40846812)
北野 友梧 大阪体育大学, スポーツ科学センター, 研究員 (90914101)
坂内 悠 大阪体育大学, スポーツ局, アスレティックトレーナー (90881491)
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Keywords | 熱中症 / 機械学習 / 心拍変動解析 / ウェアラブルセンサ / 異常検知 |
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| Outline of Final Research Achievements |
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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| Free Research Field |
医療AI
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| Academic Significance and Societal Importance of the Research Achievements |
本研究提案した熱中症検知手法は、ウェアラブルセンサーでRRIデータを簡単に測定できるため、日常生活で活用できるものと考えられる．そのため，提案手法を活用することで，熱中症が悪化する前に適切な治療を受けられることに寄与し，人々の健康の増進と維持に貢献できる．
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