Abstract: A method is disclosed for achieving improved quality of monitoring and diagnosis for heart functions. Specifically, a method is disclosed for continuous temperature measurement and thermal characterization of patient heart tissue based on non-invasive thermal mapping technology. The method includes multi-dimensional cardiac tissue temperature scanning and tissue thermal pattern analysis with high precision, which can greatly improve the efficiency and lower the medical procedure risk for identifying myocardial ischemia (MI) disorders, predicting the MI occurrence, and mapping MI characteristics and impacting MI medical treatment, such as drug delivery and long term cardiac care. A system is also disclosed for use with the method.

Abstract: A method and system for atrial fibrillation analysis, characterization, and mapping is disclosed. A finite element model (FEM) representing a physical structure of a heart is generated. Electrogram data can be sensed at various locations in the heart using an electrophysiology catheter, and the electrogram data is mapped to the elements of the FEM. Function parameters, which measure some characteristics of AF arrhythmia, are then simultaneously calculated for all of the elements of the FEM based on the electrogram data mapped to the elements of the FEM. An artificial neural network (ANN) can be used to calculate the function parameters.

Abstract: A method is disclosed for achieving improved quality of monitoring and diagnosis for heart functions. Specifically, a method is disclosed for continuous temperature measurement and thermal characterization of patient heart tissue based on non-invasive thermal mapping technology. The method includes multi-dimensional cardiac tissue temperature scanning and tissue thermal pattern analysis with high precision, which can greatly improve the efficiency and lower the medical procedure risk for identifying myocardial ischemia (MI) disorders, predicting the MI occurrence, and mapping MI characteristics and impacting MI medical treatment, such as drug delivery and long term cardiac care. A system is also disclosed for use with the method.

Abstract: A method and system for atrial fibrillation analysis, characterization, and mapping is disclosed. A finite element model (FEM) representing a physical structure of a heart is generated. Electrogram data can be sensed at various locations in the heart using an electrophysiology catheter, and the electrogram data is mapped to the elements of the FEM. Function parameters, which measure some characteristics of AF arrhythmia, are then simultaneously calculated for all of the elements of the FEM based on the electrogram data mapped to the elements of the FEM. An artificial neural network (ANN) can be used to calculate the function parameters.