Prediction of atrial fibrillation inducibility using spatiotemporal activation analysis combined with network mapping

[1]  Pawel Kuklik,et al.  Information Theory and Atrial Fibrillation (AF): A Review , 2018, Front. Physiol..

[2]  Ying Chen,et al.  Several insights into the preprocessing of electrograms in atrial fibrillation for dominant frequency analysis , 2016, Biomedical engineering online.

[3]  Lilei Yu,et al.  Low-level carotid baroreflex stimulation suppresses atrial fibrillation by inhibiting left stellate ganglion activity in an acute canine model. , 2016, Heart rhythm.

[4]  Yakup Kutlu,et al.  Deep learning with 3D-second order difference plot on respiratory sounds , 2018, Biomed. Signal Process. Control..

[5]  R. Verrier,et al.  Unmasking atrial repolarization to assess alternans, spatiotemporal heterogeneity, and susceptibility to atrial fibrillation. , 2016, Heart rhythm.

[6]  David E. Haines,et al.  Frequency domain algorithm for quantifying atrial fibrillation organization to increase defibrillation efficacy , 2001, IEEE Transactions on Biomedical Engineering.

[7]  R. Lazzara,et al.  Experimental model for paroxysmal atrial fibrillation arising at the pulmonary vein-atrial junctions. , 2006, Heart rhythm.

[8]  I. Efimov,et al.  Complex interactions between the sinoatrial node and atrium during reentrant arrhythmias in the canine heart. , 2010, Circulation.

[9]  A. Grace,et al.  Ablation of Complex Fractionated Electrograms Improves Outcome in Persistent Atrial Fibrillation of Over 2 Year's Duration. , 2018, Journal of atrial fibrillation.

[10]  J. Kalman,et al.  Atrial remodeling in varying clinical substrates within beating human hearts: relevance to atrial fibrillation. , 2012, Progress in biophysics and molecular biology.

[11]  Jing Zhang,et al.  Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures , 2017, IEEE Journal of Biomedical and Health Informatics.

[12]  Yuanyuan Wang,et al.  Predicting atrial fibrillation inducibility in a canine model by multi-threshold spectra of the recurrence complex network. , 2013, Medical engineering & physics.

[13]  J L Cox,et al.  Cholinergically mediated tachyarrhythmias induced by a single extrastimulus in the isolated canine right atrium. , 1992, Circulation research.

[14]  Ying Chen,et al.  A preliminary study on atrial epicardial mapping signals based on Graph Theory. , 2014, Medical engineering & physics.

[15]  M. Allessie,et al.  Atrial fibrillation begets atrial fibrillation. A study in awake chronically instrumented goats. , 1995, Circulation.

[16]  Cuiwei Yang,et al.  Atrial Fibrillation Prediction Based on the Rhythm Analysis of Body Surface Potential Mapping Signals , 2018 .

[17]  C. Murray,et al.  Worldwide Epidemiology of Atrial Fibrillation: A Global Burden of Disease 2010 Study , 2014, Circulation.

[18]  R. Mahajan,et al.  Spatiotemporal characteristics of atrial fibrillation electrograms: A novel marker for arrhythmia stability and termination , 2016, Journal of arrhythmia.

[19]  S. Niwano,et al.  Prediction of new onset atrial fibrillation through P wave analysis in 12 lead ECG. , 2014, International heart journal.

[20]  Novruz Allahverdi,et al.  A new approach to early diagnosis of congestive heart failure disease by using Hilbert-Huang transform , 2016, Comput. Methods Programs Biomed..

[21]  K. Hong,et al.  Is Atrial Fibrillation Noninducibility by Burst Pacing After Catheter Ablation Associated With Reduced Clinical Recurrence? , 2020, Journal of the American Heart Association.

[22]  Ying Chen,et al.  Investigation of Atrial Vulnerability by Analysis of the Sinus Node EG From Atrial Fibrillation Models Using a Phase Synchronization Method , 2012, IEEE Transactions on Biomedical Engineering.

[23]  C. Pizzi,et al.  Heart rate variability today. , 2012, Progress in cardiovascular diseases.

[24]  Z. Shao.  Network analysis of human heartbeat dynamics , 2010 .

[25]  Rajiv Mahajan,et al.  Pathophysiology of Paroxysmal and Persistent Atrial Fibrillation: Rotors, Foci and Fibrosis. , 2017, Heart, lung & circulation.

[26]  Mohamed Khalil Hani,et al.  Paroxysmal atrial fibrillation prediction based on HRV analysis and non-dominated sorting genetic algorithm III , 2018, Comput. Methods Programs Biomed..

[27]  Baodan Bai,et al.  Prediction of atrial fibrillation using the recurrence complex network of body surface potential mapping signals , 2019, Technology and health care : official journal of the European Society for Engineering and Medicine.

[28]  A. Leite-Moreira,et al.  Surgical treatment of atrial fibrillation: an updated review. , 2014, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[29]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  K. Laurita,et al.  Cellular Mechanisms of Vagally Mediated Atrial Tachyarrhythmia in Isolated Arterially Perfused Canine Right Atria , 2002, Journal of cardiovascular electrophysiology.

[31]  D. Ewing,et al.  New method for assessing cardiac parasympathetic activity using 24 hour electrocardiograms. , 1984, British heart journal.

[32]  Ola Pettersson,et al.  ECG analysis: a new approach in human identification , 2001, IEEE Trans. Instrum. Meas..

[33]  Gang Liu,et al.  Multiscale adaptive basis function modeling of spatiotemporal vectorcardiogram signals. , 2013, IEEE journal of biomedical and health informatics.

[34]  O. F. Sharifov,et al.  Roles of adrenergic and cholinergic stimulation in spontaneous atrial fibrillation in dogs. , 2004, Journal of the American College of Cardiology.

[35]  Seyed Mohammad Reza Hashemi Golpayegani,et al.  Nonlinear dynamic approaches to identify atrial fibrillation progression based on topological methods , 2019, Biomed. Signal Process. Control..

[36]  Masoumeh Haghpanahi,et al.  Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network , 2019, Nature Medicine.

[37]  Ralph Lazzara,et al.  An Acute Experimental Model Demonstrating 2 Different Forms of Sustained Atrial Tachyarrhythmias , 2009, Circulation. Arrhythmia and electrophysiology.

[38]  M. Allessie,et al.  Length of Excitation Wave and Susceptibility to Reentrant Atrial Arrhythmias in Normal Conscious Dogs , 1988, Circulation research.

[39]  Ping Wang,et al.  Automated detection of atrial fibrillation in ECG signals based on wavelet packet transform and correlation function of random process , 2020, Biomed. Signal Process. Control..

[40]  S. Nattel,et al.  Animal models for atrial fibrillation: clinical insights and scientific opportunities. , 2010, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[41]  R B D'Agostino,et al.  Impact of atrial fibrillation on mortality, stroke, and medical costs. , 1998, Archives of internal medicine.

[42]  Ulrich Schotten,et al.  2016 ESC Guidelines for the Management of Atrial Fibrillation Developed in Collaboration With EACTS. , 2017, Revista espanola de cardiologia.

[43]  H. Ghassemian,et al.  Prediction of paroxysmal atrial fibrillation using recurrence plot-based features of the RR-interval signal , 2011, Physiological measurement.

[44]  Douglas L. Jones,et al.  Chronic rapid atrial pacing. Structural, functional, and electrophysiological characteristics of a new model of sustained atrial fibrillation. , 1995, Circulation.

[45]  Yakup Kutlu,et al.  ECG based human identification using Second Order Difference Plots , 2019, Comput. Methods Programs Biomed..