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Feature subset selection and classification of intracardiac electrograms during atrial fibrillation.

, , , , , and . Biomed. Signal Process. Control., (2017)

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Data Fusion from Multiple Stations for Estimation of PM2.5 in Specific Geographical Location., , , , , and . CIARP, volume 10125 of Lecture Notes in Computer Science, page 426-433. (2016)Fractional generalization of entropy improves the characterization of rotors in simulated atrial fibrillation., , and . Appl. Math. Comput., (2022)Fractionated electrograms and rotors detection in chronic atrial fibrillation using model-based clustering., , , , , , , , and . EMBC, page 1579-1582. IEEE, (2014)Simple Ablation Guided by ApEn Mapping in a 2D Model during Permanent Atrial Fibrillation., , , , , , , , and . CinC, page 1029-1032. www.cinc.org, (2014)Feature subset selection and classification of intracardiac electrograms during atrial fibrillation., , , , , and . Biomed. Signal Process. Control., (2017)Noise and Spatial-resolution Effect of Electrode Array on Rotor Tip Location during Atrial Fibrillation: A Simulation Study., , , and . CinC, page 797-800. www.cinc.org, (2014)Local synchronization indices for rotors detection in atrial fibrillation: A simulation study., , and . Commun. Nonlinear Sci. Numer. Simul., (2021)Computational Simulation and Analysis of 3D Body Surface Potential Patterns Generated by Common Atrial Arrhythmias., , , , , , and . CinC, page 919-922. www.cinc.org, (2013)Genesis of Atrial Fibrillation Under Different Diffuse Fibrosis Density Related with Atmospheric Pollution. In-Silico Study., , , and . WEA, volume 1274 of Communications in Computer and Information Science, page 291-301. Springer, (2020)Pro-Arrhythmic Effects of Gaseous Pollutants Under Healthy Conditions: An In-Silico Study., , and . CinC, page 1-4. IEEE, (2023)