Computer modeling of the heart for ECG interpretation—a review
Computer modeling of the electrophysiology of the heart has undergone significant
progress. A healthy heart can be modeled starting from the ion channels via the spread of a …
progress. A healthy heart can be modeled starting from the ion channels via the spread of a …
Using inverse electrocardiography to image myocardial infarction—reflecting on the 2007 PhysioNet/Computers in Cardiology Challenge
The goal of the 2007 PhysioNet/Computers in Cardiology Challenge was to try to establish
how well it is possible to characterize the location and extent of old myocardial infarcts using …
how well it is possible to characterize the location and extent of old myocardial infarcts using …
Exploring cardiac vector propagation in acute myocardial infarction: a spatial velocity perspective
T Ghosal, A Hembram, I Ahmed, DP Goswami… - Future …, 2024 - Taylor & Francis
Aims To objectively characterize the spatial-velocity dynamics of the QRS-loop in the
vectorcardiogram (VCG) of patients with acute myocardial infarction (AMI). Methods VCG …
vectorcardiogram (VCG) of patients with acute myocardial infarction (AMI). Methods VCG …
Rule-based Method for Extent and Localization of Myocardial Infarction by Extracted Features of ECG Signals using Body Surface Potential Map Data
N Safdarian, NJ Dabanloo, SA Matini… - Journal of Medical …, 2013 - journals.lww.com
In this study, a method for determining the location and extent of myocardial infarction using
Body Surface Potential Map data of PhysioNet challenge 2007 database is presented. This …
Body Surface Potential Map data of PhysioNet challenge 2007 database is presented. This …
[PDF][PDF] An open-source computer model for visualization of artificial abnormal multi-Lead electrocardiographic phenomena
In this study, a mathematical model is developed based on algebraic equations which is
capable of generating artificially normal events of electrocardiogram (ECG) signals such as …
capable of generating artificially normal events of electrocardiogram (ECG) signals such as …
[PDF][PDF] ROC Analysis of PVC Detection Algorithm using ECG and Vector-ECG Charateristics
JS Nah, AY Jeon, JH Ro, GR Jeon - International Journal of …, 2012 - researchgate.net
ECG analysis method was developed using ROC analysis of PVC detecting algorithm. ECG
signal of MIT-BIH arrhythmia database was analyzed by MATLAB. First of all, the baseline …
signal of MIT-BIH arrhythmia database was analyzed by MATLAB. First of all, the baseline …
Using inverse electrocardiography to image myocardial infarction-reflecting on the 2007 PhysioNet/Computers in Cardiology Challenge
FD Beng, GS Wagner - Journal of Electrocardiology, 2008 - search.proquest.com
The goal of the 2007 PhysioNet/Computers in Cardiology Challenge was to try to establish
how well it is possible to characterize the location and extent of old myocardial infarcts using …
how well it is possible to characterize the location and extent of old myocardial infarcts using …
Rule Based Method for Extent and Localization Detection of Myocardial Infarction by Extracted Features of ECG Signals Using Body Surface Potential Map Data
NJ Dabanloo, SA Matini, AM Nasrabadi - Journal of Medical Signals …, 2013 - jmss.mui.ac.ir
In this study, a method for determining the location and extent of myocardial infarction using
Body Surface Potential Map data that is obtained from PhysioNet challenge 2007 database …
Body Surface Potential Map data that is obtained from PhysioNet challenge 2007 database …
[PDF][PDF] Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model
In this study, a MATHEMATICAL MODEL is developed based on algebraic equations which
is capable of generating artificially normal events of electrocardiogram (ECG) signals such …
is capable of generating artificially normal events of electrocardiogram (ECG) signals such …
[引用][C] Rule Based Method for Extent and Localization Detection of Myocardial Infarction by Extracted Features of ECG Signals Using Body Surface Potential Map Data
N Jafarnia Dabanloo, SA Matini, AM Nasrabadi - Journal of Medical Signals and …, 2013