The cardiopulmonary resuscitation procedure (CPR) is a widely used procedure for resuscitating cardiac arrest patients. Many physiological aspects of the procedure are not yet well understood. The first step for understanding and modeling such a complicated procedure is to develop an accurate model of mechanical properties of the chest during CPR. In this paper we propose a novel nonlinear model of the chest that captures the complex behavior of the chest during CPR. The proposed model consists of nonlinear elasticity and nonlinear damping along with frequency dependent hysteresis. We use an optimization technique to estimate the model coefficients for force-compression data collected from careful experiments conducted on swine. The results show excellent agreement.
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ASME 2015 Dynamic Systems and Control Conference
October 28–30, 2015
Columbus, Ohio, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5725-0
PROCEEDINGS PAPER
Mathematical Modeling of Cardiopulmonary Resuscitation
Ali Jalali,
Ali Jalali
Villanova University, Villanova, PA
Children’s Hospital of Philadelphia, Philadelphia, PA
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Robert A. Berg,
Robert A. Berg
Children’s Hospital of Philadelphia, Philadelphia, PA
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Vinay M. Nadkarni,
Vinay M. Nadkarni
Children’s Hospital of Philadelphia, Philadelphia, PA
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C. Nataraj
C. Nataraj
Villanova University, Villanova, PA
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Ali Jalali
Villanova University, Villanova, PA
Children’s Hospital of Philadelphia, Philadelphia, PA
Robert A. Berg
Children’s Hospital of Philadelphia, Philadelphia, PA
Vinay M. Nadkarni
Children’s Hospital of Philadelphia, Philadelphia, PA
C. Nataraj
Villanova University, Villanova, PA
Paper No:
DSCC2015-9978, V002T34A011; 7 pages
Published Online:
January 12, 2016
Citation
Jalali, A, Berg, RA, Nadkarni, VM, & Nataraj, C. "Mathematical Modeling of Cardiopulmonary Resuscitation." Proceedings of the ASME 2015 Dynamic Systems and Control Conference. Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications. Columbus, Ohio, USA. October 28–30, 2015. V002T34A011. ASME. https://doi.org/10.1115/DSCC2015-9978
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