Tomohiko Utsuki
Tokai University, japan
Title: Automatic control of physiological state for future clinical treatment- Necessity of mathematical models
Biography
Biography: Tomohiko Utsuki
Abstract
In operating room, emergency room and intensive care unit, medical staff have so heavy burden that they can't sometimes have enough time and attention for clinical treatment. Especially, many routine tasks, which demand advanced knowledge and skills to medical staff, are required for the management of physiological state pertinent to life-support. Thus, it is very useful to develop and apply automatic control systems of physiological state for alleviating such burden in clinical treatment. A few of systems have been developed and attempted to apply to patients in clinical treatment, such as automatic control systems of blood-sugar level, hemoglobin oxygen saturation in artery and concentration of carbon dioxide in alveoli. Notably, an automatic control system of brain temperature was developed and clinically applied. The designing and development of such system usually require a model of relevant physiological state as the controlled object in the simulation test of the system or as the element added in the system's controller, because heuristic system designing based on experiments on animals is not allowed ethically. On the stage of basic development, even if a system is designed by a method without using model, such as ‘Fictitious Reference Iterative Tuning’, a model of physiological state is necessary for verification of the system by simulation. In this presentation, various automatic control systems of physiological state are presented including each model used in the development. Moreover, a model of cerebral blood circulation and extracellular fluid migrations in cerebral tissue are explained, which are constructed as the elements of the integrative model of brain’s physiological state. This integrative model is required for developing an integrated control system, by which intracranial pressure, cerebral blood flow and brain temperature will be automatically controlled in consideration of the mutual effects for advanced brain resuscitation.