Cardiovascular parameter estimation using a computational model

Modern intensive care units are equipped with a wide range of patient monitoring devices, each continuously recording signals produced by the human body. Currently, these signals need to be interpreted by a clinician in order to assess the state of the patient, to formulate physiological hypotheses, and to determine treatment options. With recent technological advances, the volume of relevant patient data acquired in a clinical setting has increased. This increase in sheer volume of data available, and its lack of organization, have rendered the clinical decision-making process inefficient. In some areas, such as hemodynamic monitoring, there is enough quantitative information available to formulate computational models capable of simulating normal and abnormal human physiology. Computational models tend to synthesize information in one common framework, thereby improving data integration and organization. Through tuning, such models could be used to track patient state automatically and to relate properties of the observable data streams directly to the properties of the underlying cardiovascular system. In our research efforts, we implemented a pulsatile cardiovascular model and attempted to match its output to simulated observable hemodynamic signals in order to estimate cardiovascular parameters.

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

2005

Author dc:creator

• Samar, Zaid

Advisor dc:contributor.advisor

• Roger C. Mark and George C. Verghese.

• 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/1721.1/33852

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/33852