Submitted:
12 June 2025
Posted:
13 June 2025
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Abstract
Keywords:
1. Introduction
2. Methods
2.1. The Human Torso and the Human Heart Modeling
2.2. Activation Isochrones Modeling
3. Results
4. Conclusions
References
- J. Malmivuo and R. Plonsey “Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields” Oxford Univ. Press, 1st Ed., (1995); ISBN: 0195058232.
- S.Tawara “The Conduction System of the Mammalian Heart” English Ed., World Scientific Pub. co., (1998), ISBN: 981023502X.
- G.K. Massing, and T.N. James “Anatomical Configuration of the His Bundle and Bundle Branches in the Human Heart” Circ. (1976); 53(4):609-621.
- D. Durrer, R.TH. Van Dam, G.E. Freud, M.J. Janse, F.L. Meijler and R.C. Arzbaecher “Total Excitation of the Isolated Human Heart” Circulation, (1970); 41(6):899-912.
- A.E. Pollard and R.C. Barr “The Construction of an Anatomically Based Model of the Human Ventricular Conduction System” IEEE Trans. Biom. Eng. (1990); 37(12): 1173-1185.
- D.F. Scollan “Reconstructing The Heart: Development and Application of Biophysically Based Electrical Models of Propagation in Ventricular Myocardium Reconstructed from DTMRI”, Ph.D. Thesis, Johns Hopkins University ( 2002).
- O.G. Bernus “Development of a realistic computer model of the human ventricles for the study of reentrant arrhythmias” Ph.D. Thesis, University of Gent, Belgium (2003).
- L. Cheng “Non-Invasive Electrical Imaging of the Heart”, Ph.D. Thesis, The University of Auckland,New Zealand (2001).
- M. Sermesant , H. Delingette, and N. Ayache “An Electromechanical Model of the Heart for Image Analysis and Simulation” IEEE Trans. Med. Imag. (2006); 25(5): 612-625.
- S. Ohyu, Y. Okamoto and S. Kuriki “Use of the Ventricular Propagated Excitation Model in the Magnetocardiographic Inverse Problem for Reconstruction of Electrophysiological Properties” IEEE Trans. Biomed. Eng. (2002); 49(6): 509-518.
- K. Simeliusa, J. Nenonena, M. Horácekb “Modeling Cardiac Ventricular Activation” Inter. J. of Bioelectromagnetism, (2001); 3(2):51–58.
- O. Berenfeld and J. Jalife “Purkinje-Muscle Reentry as a Mechanism of Polymorphic Ventricular, Arrhythmias in a 3-Dimensional Model of the Ventricles” Circ. Res., (1998);82;1063-1077.
- D.S. Farina, O. Skipa, C. Kaltwasser, O. Dossel and W.R. Bauer “Personalized Model of Cardiac Electrophysiology of a Patient” IJBEM (2005);7(1): 303-306.
- El-Aff, I.A.I. “Extraction of human heart conduction network from diffusion tensor MRI” The 7th IASTED International Conference on Biomedical Engineering, 217-22.
- Elaff, I. “Modeling the Human Heart Conduction Network in 3D using DTI Images”, World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2565–2575. [CrossRef]
- X. Zhang, I. Ramachandra, Z. Liu, B. Muneer, S.M. Pogwizd, and B. He “Noninvasive three-dimensional electrocardiographic imaging of ventricular activation sequence” Am J Physiol Heart Circ Physiol (2005); 289: H2724–H2732.
- T. Berger, G. Fischer, B. Pfeifer, R. Modre, F. Hanser,T. Trieb, F. X. Roithinger, M. Stuehlinger, O. Pachinger,B. Tilg, and F. Hintringer “Single-Beat Noninvasive Imaging of Cardiac Electrophysiology of Ventricular Pre-Excitation” J. Am. Coll. Cardiol. (2006);48:2045-2052.
- B.E. Pfeifer “Model-based segmentation techniques for fast volume conductor generation”, Ph.D. Thesis, Institute of Biomedical Engineering, University for Health Sciences, Medical Informatics and Technology, Austria (2005).
- Elaff, I. “Modeling of the Human Heart in 3D Using DTI Images”, World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2450-2459. [CrossRef]
- B. He, and D. Wu “Imaging and Visualization of 3-D Cardiac Electric Activity” IEEE Tran. Inf Tech. Biomed. 2001; 5(3): 181-186.
- B.H. Smaill, I.J. LeGrice, D.A. Hooks, A.J. Pullan, B.J. Caldwell and P.J. Hunter “Cardiac structure and electrical activation: Models and measurement” Proc. of the Australian Physiological and Pharmacological Society, (2004); 34: 141-149.
- S.B. Knisley, N. Trayanova, and F. Aguel “Roles of Electric Field and Fibre Structure in Cardiac Electric Stimulation” Biophysical Journal, (1999); 77:1404–1417.
- B. He, G.Li, and X. Zhang “Noninvasive Imaging of Cardiac Transmembrane Potentials Within Three-Dimensional Myocardium by Means of a Realistic Geometry Anisotropic Heart Model” IEEE Trans. Biomed. Eng. (2003); 50(10): 1190-1202.
- G. Li, X. Zhang, J. Lian, and B. He “Noninvasive Localization of the Site of Origin of Paced Cardiac Activation in Human by Means of a 3-D Heart Model” IEEE Trans. Biomed. Eng. (2003); 50(9): 1117-1120.
- Z. Liu, C. Liu, and B. He “Noninvasive Reconstruction of Three-Dimensional Ventricular Activation Sequence From the Inverse Solution of Distributed Equivalent Current Density” IEEE Trans. Med. Imag. (2006); 25(10): 1307-1318.
- R.L. Winslow, D.F. Scollan, J.L. Greenstein, C.K. Yung, W. Baumgartner, G. Bhanot, D.L. Gresh and B.E. Rogowitz “Mapping, modeling,and visual exploration of structure-function relationships in the heart” IBM Sys J.,(2001); 40(2):342-359.
- Elaff, I. “Modeling of realistic heart electrical excitation based on DTI scans and modified reaction diffusion equation” Turkish Journal of Electrical Engineering and Computer Sciences: 2018, 26(3): Article 2.
- Elaff, I. “Modeling of The Excitation Propagation of The Human Heart”, World Journal of Biology Pharmacy and Health Sciences, 2025, 22(02): 512–519. [CrossRef]
- Elaff, I. “Effect of the material properties on modeling of the excitation propagation of the human heart”, World Journal of Biology Pharmacy and Health Sciences, 2025, 22(3): 088–094. [CrossRef]
- R.M. Gulrajani and G.E. Mailloux “A simulation study of the effects of torso inhomogeneities on electrocardiographic potentials, using realistic heart and torso models” Circ. Res., (1983); 52:45-56.
- V. Jazbinsek, R. Hren, and Z. Trontelj “High resolution ECG and MCG mapping: simulation study of single and dual accessory pathways and influence of lead displacement and limited lead selection on localisation results” Bulletin of the Polish Academy of Sciences, Technical Sciences, (2005); 53(3): 195-205.
- L.W. Wang, H.Y. Zhang, P.C. Shi “Simultaneous Recovery of Three-dimensional Myocardial Conductivity and Electrophysiological Dynamics: A Nonlinear System Approach” Computers in Cardiology, (2006);33:45-48.
- M. Seger, R. Modre, B. Pfeifer, C. Hintermuller and B. Tilg “Non-invasive Imaging of Atrial Flutter” Computers in Cardiology (2006);33:601-604.
- C.G. Xanthis, P.M. Bonovas, and G.A. Kyriacou “Inverse Problem of ECG for Different Equivalent Cardiac Sources” PIERS Online, 2007; 3(8): 1222-1227.
- B. He, C. Liu ,and Y. Zhang “Three-Dimensional Cardiac Electrical Imaging From Intracavity Recordings” IEEE Trans. Biomed. Eng. (2007); 54(8): 1454-1460.
- Elaff, I. “Modeling of 3D Inhomogeneous Human Body from Medical Images”, World Journal of Advanced Engineering Technology and Sciences. 2025, 15(02): 2010-2017. [CrossRef]
- Elaff, I. “Modeling of the Body Surface Potential Map for Anisotropic Human Heart Activation”, Research Square, 2025. [CrossRef]
- G.A. Tan, F. Brauer, G. Stroink and C.J. Purcell “The effect of measurement conditions on MCG inverse solutions”, IEEE Trans. Biomed. Eng. 1992; 39(9): 921-927.





| CC | RE | ||||
|---|---|---|---|---|---|
| ID | Conf. 1 | Conf. 2 | Conf. 1 | Conf. 2 | |
| 1 | 0.611 | 0.634 | 0.845 | 0.810 | |
| 2 | 0.857 | 0.835 | 0.577 | 0.577 | |
| 3 | 0.830 | 0.797 | 0.567 | 0.603 | |
| 4 | 0.708 | 0.574 | 0.710 | 0.862 | |
| 5 | 0.818 | 0.502 | 0.581 | 0.966 | |
| 6 | 0.891 | 0.625 | 0.562 | 0.874 | |
| 7 | 0.930 | 0.739 | 0.560 | 0.747 | |
| 8 | 0.963 | 0.814 | 0.573 | 0.660 | |
| 9 | 0.983 | 0.869 | 0.582 | 0.608 | |
| 10 | 0.974 | 0.900 | 0.559 | 0.597 | |
| 11 | 0.955 | 0.931 | 0.497 | 0.565 | |
| 12 | 0.954 | 0.963 | 0.417 | 0.506 | |
| 13 | 0.971 | 0.979 | 0.332 | 0.504 | |
| 14 | 0.983 | 0.981 | 0.284 | 0.578 | |
| 15 | 0.985 | 0.977 | 0.304 | 0.712 | |
| 16 | 0.983 | 0.980 | 0.328 | 0.835 | |
| 17 | 0.968 | 0.981 | 0.299 | 0.927 | |
| 18 | 0.924 | 0.981 | 0.387 | 0.966 | |
| 19 | 0.873 | 0.975 | 0.488 | 0.885 | |
| 20 | 0.805 | 0.971 | 0.598 | 0.751 | |
| 21 | 0.749 | 0.960 | 0.665 | 0.799 | |
| 22 | 0.601 | 0.954 | 0.802 | 0.884 | |
| 23 | 0.068 | 0.967 | 1.015 | 1.014 | |
| Mean | 0.843 | 0.865 | 0.545 | 0.749 | |
| SD | 0.200 | 0.146 | 0.180 | 0.156 | |
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