Time Domain Estimation of Arterial Parameters using the Windkessel Model and the Monte Carlo Method

VLADIMIR GOSTUKI; IGNACIO PASTORE; GASPAR RODRIGUEZ PALACIOS; GUSTAVO VACA DIEZ; MARCELA MOSCOSO VASQUEZ; MARCELO RISK

JOURNAL OF PHYSICS CONFERENCE SERIES

IOP Publishing

Año: 2016 vol. 705 p. 1 - 8

Numerous parameter estimation techniques exist for characterizing the arterial system using electrical circuit analogs. However, they are often limited by their requirements and usually high computational burdain. Therefore, a new method for estimating arterial parameters based on Monte Carlo simulation is proposed. A three element Windkessel model was used to represent the arterial system. The approach was to reduce the error between thecalculated and physiological aortic pressure by randomly generating arterial parameter values, while keeping constant the arterial resistance. This last value was obtained for each subject using the arterial fow, and was a necessary consideration in order to obtain a unique set of values for the arterial compliance and peripheral resistance. The estimation technique was applied to in vivo data containing steady beats in mongrel dogs, and it reliably estimated Windkessel arterial parameters. Further, this method appears to be computationally ecient for on-line time-domain estimation of these parameters.