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 as P-wave, QRS complex, and T-wave. This model can also be implemented for the simulation of abnormal phenomena of electroca...

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Main Authors: Ali Ghaffari, Mohammad Reza Homaeinezhad, Yashar Ahmadi, Mostafa Rahnavard
Format: Article
Language:English
Published: Iran University of Science and Technology 2009-06-01
Series:Iranian Journal of Electrical and Electronic Engineering
Subjects:
Online Access:http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3-82&slc_lang=en&sid=1
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author Ali Ghaffari
Mohammad Reza Homaeinezhad
Yashar Ahmadi
Mostafa Rahnavard
author_facet Ali Ghaffari
Mohammad Reza Homaeinezhad
Yashar Ahmadi
Mostafa Rahnavard
author_sort Ali Ghaffari
collection DOAJ
description 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 P-wave, QRS complex, and T-wave. This model can also be implemented for the simulation of abnormal phenomena of electrocardiographic signals such as ST-segment episodes (i.e. depression, elevation, and sloped ascending or descending) and repolarization abnormalities such as T-Wave Alternans (TWA). Event parameters such as amplitude, duration, and incidence time in the conventional ECG leads can be a good reflective of heart electrical activity in specific directions. The presented model can also be used for the simulation of ECG signals on torso plane or limb leads. To meet this end, the amplitude of events in each of the 15-lead ECG waveforms of 80 normal subjects at MIT-BIH Database (www.physionet.org) are derived and recorded. Various statistical analyses such as amplitude mean value, variance and confidence intervals calculations, Anderson-Darling normality test, and Bayesian estimation of events amplitude are then conducted. Heart Rate Variability (HRV) model has also been incorporated to this model with HF/LF and VLF/LF waves power ratios. Eventually, in order to demonstrate the suitable flexibility of the presented model in simulation of ECG signals, fascicular ventricular tachycardia (left septal ventricular tachycardia), rate dependent conduction block (Aberration), and acute Q-wave infarctions of inferior and anterior-lateral walls are finally simulated. The open-source simulation code of above abnormalities will be freely available.
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spelling doaj.art-fd75ada2eccf432e86f7ccba16e3ff0c2022-12-21T23:32:10ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902009-06-01526792Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer ModelAli Ghaffari0Mohammad Reza Homaeinezhad1Yashar Ahmadi2Mostafa Rahnavard3 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 P-wave, QRS complex, and T-wave. This model can also be implemented for the simulation of abnormal phenomena of electrocardiographic signals such as ST-segment episodes (i.e. depression, elevation, and sloped ascending or descending) and repolarization abnormalities such as T-Wave Alternans (TWA). Event parameters such as amplitude, duration, and incidence time in the conventional ECG leads can be a good reflective of heart electrical activity in specific directions. The presented model can also be used for the simulation of ECG signals on torso plane or limb leads. To meet this end, the amplitude of events in each of the 15-lead ECG waveforms of 80 normal subjects at MIT-BIH Database (www.physionet.org) are derived and recorded. Various statistical analyses such as amplitude mean value, variance and confidence intervals calculations, Anderson-Darling normality test, and Bayesian estimation of events amplitude are then conducted. Heart Rate Variability (HRV) model has also been incorporated to this model with HF/LF and VLF/LF waves power ratios. Eventually, in order to demonstrate the suitable flexibility of the presented model in simulation of ECG signals, fascicular ventricular tachycardia (left septal ventricular tachycardia), rate dependent conduction block (Aberration), and acute Q-wave infarctions of inferior and anterior-lateral walls are finally simulated. The open-source simulation code of above abnormalities will be freely available.http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3-82&slc_lang=en&sid=1Electrocardiogram(ECG) Mathematical Model Heart Arrhythmia Simulation
spellingShingle Ali Ghaffari
Mohammad Reza Homaeinezhad
Yashar Ahmadi
Mostafa Rahnavard
Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model
Iranian Journal of Electrical and Electronic Engineering
Electrocardiogram(ECG)
Mathematical Model
Heart Arrhythmia
Simulation
title Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model
title_full Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model
title_fullStr Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model
title_full_unstemmed Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model
title_short Macroscopic Visualization of the Heart Electrical Activity Via an Algebraic Computer Model
title_sort macroscopic visualization of the heart electrical activity via an algebraic computer model
topic Electrocardiogram(ECG)
Mathematical Model
Heart Arrhythmia
Simulation
url http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3-82&slc_lang=en&sid=1
work_keys_str_mv AT alighaffari macroscopicvisualizationoftheheartelectricalactivityviaanalgebraiccomputermodel
AT mohammadrezahomaeinezhad macroscopicvisualizationoftheheartelectricalactivityviaanalgebraiccomputermodel
AT yasharahmadi macroscopicvisualizationoftheheartelectricalactivityviaanalgebraiccomputermodel
AT mostafarahnavard macroscopicvisualizationoftheheartelectricalactivityviaanalgebraiccomputermodel