Adaptive life simulator: a novel approach to modeling the cardiovascular system

• Published in: American Control Conference. Proceedings. Vol. 1, pp. 796-799. 1995 Vol. 1; pp. 796 - 799
• Main Authors: Kangas, Lars J, Keller, Paul E, Hashem, Sherif, Kouzes, Richard T, Allen, Paul A
• Format: Conference Proceeding
• Language: English
• Published: 01.01.1995
• ISSN: 0743-1619

In this paper, an adaptive life simulator (ALS) is introduced. The ALS models a subset of the dynamics of the cardiovascular behavior of an individual by using a recurrent artificial neural network. These models are developed for use in applications that require simulations of cardiovascular systems, such as medical mannequins, and in medical diagnostic systems. This approach is unique in that each cardiovascular model is developed from physiological measurements of an individual. Any differences between the modeled variables and the actual variables of an individual can subsequently be used for diagnosis. This approach also exploits sensor fusion applied to biomedical sensors. Sensor fusion optimizes the utilization of the sensors. The advantage of sensor fusion has been demonstrated in applications including control and diagnostics of mechanical and chemical processes.