A forward model-based analysis of cardiovascular system identification methods

Cardiovascular system identification is a potentially powerful approach for intelligent patient monitoring of cardiovascular function. Rather than merely recording hemodynamic signals, the signals are mathematically analyzed so as to provide a dynamical characterization of the physiologic mechanisms responsible for generating them. The fundamental aim of this thesis is to develop and evaluate cardiovascular system identification methods based on a test bed of data generated from a forward model of the cardiovascular system whose dynamical properties are known. To this end, we developed a computer model of the human cardiovascular system which includes a lumped parameter model of the heart and circulation and a model of the short-term cardiovascular regulatory system continuously disturbed by resting physiologic perturbations. The short-term regulatory system consists of arterial and cardiopulmonary baroreflex systems and a direct neural coupling mechanism between respiration and heart rate. The resting physiologic perturbations include respiratory activity and stochastic disturbances to total peripheral resistance (TPR) and heart rate representing, for example, autoregulation of local vascular beds and higher brain center activity. We demonstrated that this model emulates experimental data in terms of steady-state pulsatility, limiting static behavior, and low frequency hemodynamic variability. We first evaluated the performance of a previously developed cardiovascular system identification method against the forward model.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2000

Author dc:creator

• Mukkamala, Ramakrishna, 1971-

Advisor dc:contributor.advisor

• Richard J. Cohen.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/17679

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/17679