Prediction of sleep indices using continuous data analysis of core body temperature variation

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  • SAKAMOTO Hiroaki
    Center for Data-driven Science and Artificial Intelligence, Tohoku University
  • YOSHIDA Yutaka
    Center for Data-driven Science and Artificial Intelligence, Tohoku University
  • YUDA Emi
    Center for Data-driven Science and Artificial Intelligence, Tohoku University

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<p>Human body temperature consists of skin temperature, which is easily affected by the external environment, and core body temperature, which is maintained constant to protect the functions of the body's center. Core body temperature is less susceptible to the external environment and is maintained constant in order to protect the functions of the internal organs. The deeper the sleep, the greater the decrease in body temperature. Upon entering sleep, the body temperature threshold is lowered and heat dissipation through the skin becomes more active. When sleep is deep slow-wave sleep, heat dissipation becomes very active, accompanied by sweating and a large drop in body temperature. Recently, it has become possible to continuously measure human core body temperature using infrared sensors. Therefore, we attempted to actually measure the phenomenon in which core body temperature reaches a minimum value around 4:00 a.m. using continuous measurement of human core body temperature.</p>

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