Document Type


Date of Award


Degree Name

Master of Science in Biomedical Engineering - (M.S.)


Biomedical Engineering Committee

First Advisor

Peter Engler

Second Advisor

David S. Kristol

Third Advisor

Swamy Laxminarayan


This thesis deals with the computation of the Arterial Impulse Response Function by deconvolving aortic pressure and flow signals in time domain. Several methods have been developed in the past to obtain a solution for the convolution integral. These are (1) Transform method, and (2) Numerical Approximation methods : a. Conventional method b. Relaxation methods.

These methods have been applied in the past to the RC network model and it was found to work well. In this thesis, the methods are applied to data from more realistic models and also on data obtained from dogs. The model considered is a 3-element Windkessel model. Studies were conducted in two situations in dogs - one under control situation which is to be compared with the Windkessel model and then under occlusion conditions, with aortic occlusion and occlusion of both carotid arteries.

The parameters of interest in this study of the arterial system in time domain are the total arterial compliance and wave reflections. Reflection studies are made from the impulse response function of the dogs under occlusion conditions.



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