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Smart Computational Model of the Human Cardiopulmonary System

Douglas Folk, Department of Mechanical and Civil Engineering, Minnesota State University-Mankato, 228, Wiecking Center, Mankato, MN 56001 Audrey Tseng, Department of Chemistry, Physics, and Engineering, Biola University, 13800 Biola Ave, La Mirada, CA 90639 Amber Younggren, Department Mechanical Engineering, North Dakota State University, PO Box 6050, Fargo, ND 58108-6050 Christopher Maciolek, Department of Electrical and Computer Engineering, North Dakota State University, PO Box 6050, Fargo, ND 58108-6050 Elisabeth Thorson, Department Mechanical Engineering, North Dakota State University, PO Box 6050, Fargo, ND 58108-6050

The cardiopulmonary system is comprised of the heart, lungs, and many dynamic feedback mechanisms that control its function based on a multitude of variables.  The next generation of cardiopulmonary medical devices will involve adaptive control and smart pacing techniques. However, testing these smart devices on living systems may be unethical and exceedingly expensive.  

As a solution, a comprehensive computational model of the cardiopulmonary system was implemented in Simulink. The model contains over 240 state variables and over 100 equations previously described in a series of published articles. Simulink was chosen because of its ease of introducing machine learning elements. Initial results indicate that physiologically correct waveforms of pressures and volumes were obtained in the simulation. With the development of a comprehensive computational model, we hope to pioneer the future of predictive medicine by applying our research towards the initial stages of smart devices. After validation, we will introduce and train reinforcement learning agents using the cardiopulmonary model to assist in adaptive control system design. With our novel cardiopulmonary model, we will accelerate the design and testing of smart and adaptive medical devices to better serve those with cardiovascular disease.  

 




Additional Abstract Information

Presenters: Douglas Folk, Audrey Tseng, Michael Ciriacy

Institution: Minnesota State University, Mankato

Type: Poster

Subject: Computer Science

Status: Approved


Time and Location

Session: Poster 5
Date/Time: Tue 12:30pm-1:30pm
Session Number: 4035