Title :
Adaptive life simulator: a novel approach to modeling the cardiovascular system
Author :
Kangas, Lars J. ; Keller, Paul E. ; Hashem, Sherif ; Kouzes, Richard T. ; Allen, Paul A.
Author_Institution :
Pacific Northwest Lab., Richland, WA, USA
Abstract :
The adaptive life simulator (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
Keywords :
biomedical equipment; biosensors; cardiology; digital simulation; haemodynamics; medical diagnostic computing; physiological models; recurrent neural nets; sensor fusion; adaptive life simulator; biomedical sensors; cardiovascular system modeling; medical diagnostic systems; medical mannequins; recurrent artificial neural network; sensor fusion; Artificial neural networks; Biomedical measurements; Biosensors; Cardiology; Cardiovascular system; Chemical and biological sensors; Medical diagnosis; Medical diagnostic imaging; Medical simulation; Sensor fusion;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.529359
