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Comparison of fuzzy control systems for hypothermal brain temperature regulation

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Abstract

The automatic control system for brain tissue temperature is studied theoretically for brain hypothermia treatment. In order to realize a human-friendly control mechanism, an automatic temperature regulation system is constructed to simulate brain hypothermia treatment by introducing a fuzzy algorithm for possible characteristic changes in patients. The brain temperature model is successfully realized to follow the desired temperature course automatically. The model reference fuzzy control of brain temperature based on water-cooling blankets is verified for clinical application to brain hypothermia treatments through various kinds of simulation experiment.

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Authors and Affiliations

  1. Biophysical System Engineering, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan

    Hidetoshi Wakamatsu, Takuya Wakatsuki & Tomohiko Utsuki

Authors
  1. Hidetoshi Wakamatsu
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  2. Takuya Wakatsuki
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  3. Tomohiko Utsuki
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Corresponding author

Correspondence to Hidetoshi Wakamatsu.

Additional information

Partly presented at the 16th IFAC World Congress, Prague, July 2005

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Wakamatsu, H., Wakatsuki, T. & Utsuki, T. Comparison of fuzzy control systems for hypothermal brain temperature regulation. Artif Life Robotics 11, 183–189 (2007). https://doi.org/10.1007/s10015-007-0426-z

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  • DOI: https://doi.org/10.1007/s10015-007-0426-z

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