scholarly journals Cardiac Phase Space Analysis: Assessing Coronary Artery Disease Utilizing Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Mark G. Rabbat ◽  
Shyam Ramchandani ◽  
William E. Sanders

The bridge of artificial intelligence to cardiovascular medicine has opened up new avenues for novel diagnostics that may significantly enhance the cardiology care pathway. Cardiac phase space analysis is a noninvasive diagnostic platform that combines advanced disciplines of mathematics and physics with machine learning. Thoracic orthogonal voltage gradient (OVG) signals from an individual are evaluated by cardiac phase space analysis to quantify physiological and mathematical features associated with coronary stenosis. The analysis is performed at the point of care without the need for a change in physiologic status or radiation. This review will highlight some of the scientific principles behind the technology, provide a description of the system and device, and discuss the study procedure, clinical data, and potential future applications.

1998 ◽  
Vol 21 (6) ◽  
pp. 463-475 ◽  
Author(s):  
Q. Liu ◽  
S. Islam ◽  
I. Rodriguez-Iturbe ◽  
Y. Le

2004 ◽  
Vol 70 (4) ◽  
Author(s):  
M. K. Olsen ◽  
A. B. Melo ◽  
K. Dechoum ◽  
A. Z. Khoury

2021 ◽  
pp. 2150052
Author(s):  
Qihong Huang ◽  
Ruanjing Zhang ◽  
Jun Chen ◽  
He Huang ◽  
Feiquan Tu

In this paper, we analyze the universe evolution and phase space behavior of the Umami Chaplygin model, where the Umami Chaplygin fluid replaces both a dark energy and a dark and baryonic matter. We find the Umami Chaplygin model can be stable against perturbations under some conditions and can be used to explain the late-time cosmic acceleration. The results of phase space analysis show that there exists a late-time accelerated expansion attractor with [Formula: see text], which indicates the Umami Chaplygin fluid can behave as a cosmological constant. Moreover, the Umami Chaplygin model can describe the expansion history of the universe. The evolutionary trajectories of the statefinder diagnostic pairs and the finite time future singularities are also discussed.


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