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Development of Automatic Brain Temperature Controller Based on Conditions of Clinical Use
Author(s) -
Utsuki Tomohiko,
Wakamatsu Hidetoshi
Publication year - 2014
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11483
Subject(s) - controller (irrigation) , computer science , control theory (sociology) , power (physics) , margin (machine learning) , temperature control , pid controller , energy consumption , control engineering , reliability engineering , control (management) , engineering , electrical engineering , artificial intelligence , machine learning , physics , quantum mechanics , agronomy , biology
SUMMARY A new automatic brain temperature controller was developed based on the conditions required for clinical use from the viewpoint of various aspects of feasibility, in particular an electric power consumption of less than 1500 W in an intensive care unit. An adaptive algorithm was employed to deal with individual time‐varying characteristic changes of patients. The controller in water‐surface cooling hypothermia requires significant power for frequent regulation of the water temperature of cooling blankets. Thus, in this study, the power consumption of the controller was checked by several kinds of tests involving simulated control of brain temperature with a mannequin that had thermal characteristics similar to those of adult patients. The required accuracy for therapeutic brain hypothermia, specifically a control deviation within ±0.1 °C, was experimentally confirmed in terms of the root mean square control error, even though the present controller consumes less energy than a conventional controller. It can maintain a reserve power margin of more than 300 W even during full operation. The clinically required water temperature was also confirmed within the limits of the power supply. Thus, its practical application is highly desirable, since it will reduce the physical burden on medical staff and will offer greater usability and better medical cost performance.