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Cardiovascular Cartography-A New Non-Invasive Technique to Detect Coronary Artery Disease
Bethesda, Maryland March 26-March 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.94169514th IEEE Symposium on Computer-Based ...
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R.V. Kumar, G.N. Shirbur, R.J. Augustus, J. Lakotosh, I. Jakobicz, "Cardiovascular Cartography-A New Non-Invasive Technique to Detect Coronary Artery Disease," Computer-Based Medical Systems, IEEE Symposium on, pp. 0042, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001.
 
 
BibTex
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@article{ 10.1109/CBMS.2001.941695,
author = {R.V. Kumar and G.N. Shirbur and R.J. Augustus and J. Lakotosh and I. Jakobicz},
title = {Cardiovascular Cartography-A New Non-Invasive Technique to Detect Coronary Artery Disease},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2001},
isbn = {0-7695-1004-3},
pages = {0042},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941695},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Cardiovascular Cartography-A New Non-Invasive Technique to Detect Coronary Artery Disease
SN - 0-7695-1004-3
SP
EP
A1 - R.V. Kumar,
A1 - G.N. Shirbur,
A1 - R.J. Augustus,
A1 - J. Lakotosh,
A1 - I. Jakobicz,
PY - 2001
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
R.V. Kumar, Scalene Cybernetics
G.N. Shirbur, Scalene Cybernetics
R.J. Augustus, Austin Systems Inc
J. Lakotosh, ASKIT kft
I. Jakobicz, ASKIT kft
Abstract: A multi-variable mathematical model specific to each individual can be designed to obtain the nominal basal haemodynamic behavior. By superimposing the measured data obtained from the individuals, on a predictive model, a pattern, called cardiovascular cartography (CCG) can be generated. In a pilot study it was observed that Coronary Artery Disease (CAD) characteristically altered the CCG pattern. These alterations were carefully analyzed using artificial neural networks and the exact status of the coronary insufficiency was reconstructed on a realistic geometry coronary model. A strong correlation was found to exist between functional structures and structural functions. This study was designed to assess the feasibility of using such modeling and cartography techniques to detect the primary presence and assess the severity of CAD.
Citation:
R.V. Kumar, G.N. Shirbur, R.J. Augustus, J. Lakotosh, I. Jakobicz, "Cardiovascular Cartography-A New Non-Invasive Technique to Detect Coronary Artery Disease," cbms, pp.0042, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001
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