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Reduced-order modeling of human body for brain hypothermia treatment

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Abstract

Brain hypothermia treatment (BHT) is an active therapy for severe brain injury. It makes the temperature of the brain track a given temperature input curve so as to reduce the risk of tissue damage. BHT requires a brain-temperature control system because of environmental disturbances and changes in the human body. The thermal models of the human body devised so far are usually of a very high order and are not suitable for controlling brain temperature. This paper presents a method of finding a reducedorder thermal model of the human body for use in BHT. It combines minimal realization and balanced realization. Unlike other methods, this method yields a reduced-order model that is based on system theory and that takes the frequency characteristics of human thermal sensation into account. It features high precision in the frequency band for BHT and is suitable for the control of brain temperature.

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Author information

Authors and Affiliations

  1. School of Engineering, Tokyo University of Technology, Tokyo, 192-0982, Japan

    Jinhua She

  2. School of Automation, China University of Geosciences, Wuhan, 430074, China

    Jinhua She & Min Wu

  3. Master Program of Innovation for Design & Engineering, Advanced Institute of Industrial Technology Shinagawa-ku, Tokyo, 140-0011, Japan

    Hiroshi Hashimoto

Authors
  1. Jinhua She
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  2. Hiroshi Hashimoto
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  3. Min Wu
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Corresponding author

Correspondence to Min Wu.

Additional information

This work was supported by the JSPS KAKENHI (No. 26350673), National Natural Science Foundation of China (Nos. 61473313 and 61210011), and Hubei Provincial Natural Science Foundation of China (No. 2015CFA010).

Recommended by Associate Editor Yi Cao

Jinhua She received the B. Sc. degree in engineering from Central South University, China in 1983, and the M. Sc. and Ph.D. degrees in engineering from Institute of Technology, Japan in 1990 and 1993, respectively. In 1993, he joined the School of Engineering, Tokyo University of Technology, where he is currently a professor. He is a member of the Society of Instrument and Control Engineers, the Institute of Electrical Engineers of Japan, the Japan Society of Mechanical Engineers, and the Asian Control Association. He was the recipient of the International Federation of Automatic Control (IFAC) Control Engineering Practice Paper Prize in 1999 (jointly with M. Wu and M. Nakano).

His research interests include application of control theory, repetitive control, process control, internet-based engineering education, and robotics.

ORCID iD: 0000-0003-3165-5045

Hiroshi Hashimoto received the Ph.D. degree in science engineering from Waseda University, Japan in 1990. He is currently a professor in the Master Program of Innovation for Design and Engineering, Advanced Institute of Industrial Technology, where he does research on intelligent robots, cybernetic interfaces, vision systems, welfare technology, and elearning. He is a member of the IEEE, the Society of Instrument and Control Engineers (SICE), and the Institute of Electrical Engineers of Japan (IEEJ).

His research interests include mechatronics and the application of control theory.

ORCID iD: 0000-0003-2416-8038

Min Wu received the B. Sc. and M. Sc. degrees in engineering from Central South University, China in 1983 and 1986, respectively, and the Ph. D. degree in engineering from the Tokyo Institute of Technology, Japan in 1999. He was a faculty member of the School of Information Science and Engineering at Central South University from 1986 to 2014, attaining the position of full professor. In 2014, he moved to China University of Geosciences, China, where he is a professor of the School of Automation. He was a visiting scholar with Department of Electrical Engineering, Tohoku University, Japan from 1989 to 1990, and a visiting research scholar with the Department of Control and Systems Engineering, Tokyo Institute of Technology from 1996 to 1999. He was a visiting professor at the School of Mechanical, Materials, Manufacturing Engineering and Management, University of Nottingham, UK from 2001 to 2002. He is a member of the Chinese Association of Automation and is a senior member of the IEEE. He received the IFAC Control Engineering Practice Prize Paper Award in 1999 (together with M. Nakano and J. She).

His research interests include robust control and its applications, process control, and intelligent control.

ORCID iD: 0000-0002-0668-8315

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She, J., Hashimoto, H. & Wu, M. Reduced-order modeling of human body for brain hypothermia treatment. Int. J. Autom. Comput. 13, 159–167 (2016). https://doi.org/10.1007/s11633-016-0961-y

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  • DOI: https://doi.org/10.1007/s11633-016-0961-y

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