Validation of improved Two-node model for prediction of core temperature during bathing

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  • Takada Satoru
    Graduate School of Engineering, Kobe University
  • Nonaka Takashi
    Components Technology Research Dept., Research & Development Division, NORITZ Corp.
  • Koga Hiroko
    Components Technology Research Dept., Research & Development Division, NORITZ Corp.
  • Kondo Isao
    Components Technology Research Dept., Research & Development Division, NORITZ Corp.
  • Fujikawa Naoya
    Components Technology Research Dept., Research & Development Division, NORITZ Corp.
  • Mitsui Daichi
    Graduate School of Design, Kyushu University
  • Maeda Takafumi
    Faculty of Design, Kyushu University

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Other Title
  • 入浴中の深部温の予測を目的とした改良型Two-nodeモデルの検証
  • ニュウヨク チュウ ノ シンブオン ノ ヨソク オ モクテキ ト シタ カイリョウガタ Two-node モデル ノ ケンショウ

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Abstract

<p>In order to prevent heat stroke during bathing, it is effective to use a thermal model of the human body that can appropriately predict the increase in core temperature during bathing under various temperature conditions. In this study, we developed an improved version of the existing Two-node model by dividing the core layer into two parts, and showed the validity of the improved model by comparing the results of the calculation by the model with those of a 10-minute bathing experiment for six male and six female subjects under six conditions: two levels of water temperature (40°C and 42°C) and three seasons (summer 30°C, fall 24°C, and winter 18°C). The error between the measured rectal temperature and the calculated core temperature was 0.15°C in the conventional Two-node model, but improved to 0.11°C in the proposed version of the model. When limited to the 40°C water temperature condition in winter, the error was greatly improved from 0.21°C to 0.10°C. These results indicate that the proposed version of the model, which divides the core layer of Two-node model into two parts, can appropriately predict the rise in core temperature during bathing. </p>

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