1. Fogoros R. Electrophysiologic Testing. Tehran: Mirmah Publication. Tehran arrhythmia Center. 3rd ed. 1998;5-17. ISBN: 9789648115130. 2. Eslami M, Bagherzadeh A. Fundamentals of Cardiac Electrophysiology. Tehran: Iran Behdasht publication. 2010. ISBN: 9789640466179. 3. Kistler P M, Roberts-Thomson K C, Haqqani H M, Fynn S P. P-wave morphology in focal atrial tachycardia: development of an algorithm to predict the anatomic site of origin. Journal of the American College of Cardiology (JACC). 2006;48(5):1010-1017. 4. Teh A W, Kistler P M, Kalman J M. Using the 12‐Lead ECG to Localize the Origin of Ventricular and Atrial Tachycardias: Part 1. Focal Atrial Tachycardia: CME. Journal of cardiovascular electrophysiology (JCardioEP), 2009;20(6):706-709. 5. Shah A J, Lim H S, Yamashita S, Zellerhoff S, Berte B, et. Al. Non-invasive ECG mapping to guide catheter ablation. Journal of atrial fibrillation (JAFIB). 2014;7(3): 31-38. 6. Alday E A P, Colman M A, Langley P, Butters T D, et. al. A New Algorithm to Diagnose Atrial Ectopic Origin from Multi Lead ECG Systems - Insights from 3D Virtual Human Atria and Torso. PLOS Computational Biology (PLOS Comput. Biol). 2015;11(1):1-15. 7. MS Lee J, P Fynn S. P wave morphology in guiding the ablation strategy of focal atrial tachycardias and atrial flutter. Current cardiology reviews. 2015;11(2):103-110. 8. Provost J, Costet A, Wan E, Gambhir A, Whang, et. al. Assessing the atrial electromechanical coupling during atrial focal tachycardia, flutter, and fibrillation using electromechanical wave imaging in humans, Computers in biology and medicine. 2015; 65:161-167. 9. Ramanathan C, Ghanem R N, Jia P, et. al. Noninvasive electrocardiographic imaging for cardiac electrophysiology and arrhythmia. Nature medicine. 2004;10(4):422-428. 10. Uhm J S, Shim J, Wi J, Mun H S, Pak H N, Lee M, et. al. An electrocardiography algorithm combined with clinical features could localize the origins of focal atrial tachycardias in adjacent structures. Europace (EP). 2014;16(7):1061-1068. 11. Pan, J, Tompkins W J. A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng. 1985;32(3): 230-236. 12. Debnath, T, Hasan M, Biswas T. Analysis of ECG signal and classification of heart abnormalities using Artificial Neural Network. In 2016 9th International Conference on Electrical and Computer Engineering (ICECE). 2016;353-356. 13. Mallat S G, & Zhang Z. Matching pursuits with time-frequency dictionaries. IEEE Trans. Signal Process. 1993;41(12): 3397-3415. 14. Figueiredo M A, Nowak R D, Wright S J. Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems. IEEE JSTSP. 2007;1(4):586-597. 15. Shayestenia N, keshavarz A, Rostami H. Investigation of Gradient Image Algorithm for Sparse Reconstruction (GPSR). Conference on Computer Engineering and Sustainable Development with a focus on computer networks, modeling and systems security, Mashhad, Iran. 2013;121-129. 16. Yang J, Peng Y, Xu W, Dai Q. Ways to sparse representation: an overview. Science China Information Sciences. 2009; 52(4):695-703. 17. Rodriguez F, Sapiro G. Sparse representations for image classification: Learning discriminative and reconstructive non-parametric dictionaries, IMA Preprint Series # 2213, University of Minnesota, 2008;612-626. 18. Wright J, Yang A Y, Ganesh A, Sastry S, Ma Y. Robust face recognition via sparse representation. IEEE transactions on pattern analysis and machine intelligence. 2008;31(2):210-227. 19. Mohammadi F, Sheikhani A, Razzazi F, & Ghorbani sharif A. Non-Invasive Localization of the Ectopic Foci of Focal Atrial Tachycardia by Using ECG Signal based Sparse Decomposition Algorithm. Journal of Biomedical Signal Processing and Control. 2021;70:1-10.
|