【IJAC推文】脑低温疗法中人体热模型的降阶建模

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IJAC Research ArticleReduced-order Modeling of Human Body for Brain Hypothermia Treatment(脑低温疗法中人体热模型的降阶建模 )
Jinhua She(1,2), Hiroshi Hashimoto(3), Min Wu(2)1 School of Engineering, Tokyo University of Technology, Tokyo 192-0982, Japan2 School of Automation, China University of Geosciences, Wuhan 430074, China3 Master Program of Innovation for Design & Engineering, Advanced Institute of Industrial Technology Shinagawa-ku, Tokyo 140-0011, Japan------------------------------------------Published in IJAC Vol.13 No.2, 2016

文章简介

图 1、An overview of the proposed security enhancement framework

        脑低温疗法为治疗缺氧性脑症、新生儿窒息、脑梗塞和头部创伤等脑损伤重症患者提供了一种有效的治疗手段，因而受到了广泛的关注。其原理是：使受了损伤的脑组织在一段时间范围内处于低温状态，来抑制由过度炎症反应和脑细胞的连锁坏死等所导致的脑神经细胞的二次损伤。        脑低温疗法需要在几天时间内保证脑温精确地跟踪设定在32至35度之间的目标脑温曲线。为了构建高精度的脑温控制系统，首先需要构造一个脑温模型。        迄今为止，虽然已有研究者开发出了一些脑温模型，但这些模型的阶数都非常高，不能适用于脑温控制。来自日本Tokyo Medical and Dental University的 H. Wakamatsu教授等人构造了一个用于脑温控制的18阶人体生物热模型，并将其用于脑温控制实践，验证了它的有效性。由于控制系统的复杂性与脑温模型的次数紧密相关，因此开发一个能精确地描述脑温特性的低阶脑温模型具有非常重要的意义。      来自日本Tokyo University of Technology的Jinhua She教授等人提出了一个基于改良型平衡实现方法的低阶人体热模型。与其他方法不同，该方法融合了系统理论和人体热模型的生理学以及频率特性进行降阶，具有在脑低温疗法频率范围内精度高、适合脑温控制等特点。

Author information 

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.    E-mail: [e-mail]    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 e-learning. 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.    E-mail: [e-mail]    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.    E-mail: [e-mail] (Corresponding author)    ORCID iD: 0000-0002-0668-8315

Article DetailsCitation: Jinhua She, Hiroshi Hashimoto, Min Wu. Reduced-order Modeling of Human Body for Brain Hypothermia Treatment. International Journal of Automation and Computing, vol. 13, no. 2, pp. 159-167, 2016.
Keywords: Balanced realization, brain hypothermia treatment (BHT), minimal realization, model reduction, human thermal sensation, thermal model
Full Text: http://www.ijac.net/EN/abstract/abstract1812.shtmlhttp://link.springer.com/article/10.1007/s11633-016-0961-y关注本微信公众号，点击“期刊在线”-“当期目录”也可阅读全文。

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