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Dominant Frequency, Regularity and Organization Indexes Response to Preprocessing Filter Variations on Simulated Electrograms During Atrial Fibrillation.

, , , , , and . BIOSIGNALS, page 306-309. SciTePress, (2013)

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Simple Ablation Guided by ApEn Mapping in a 2D Model during Permanent Atrial Fibrillation., , , , , , , , and . CinC, page 1029-1032. www.cinc.org, (2014)Fractionated electrograms and rotors detection in chronic atrial fibrillation using model-based clustering., , , , , , , , and . EMBC, page 1579-1582. IEEE, (2014)Support Vector Machine and Artificial Neural Network Implementation in Embedded Systems for Real Time Arrhythmias Detection., , , , , and . BIOSIGNALS, page 310-313. SciTePress, (2013)Dominant Frequency, Regularity and Organization Indexes Response to Preprocessing Filter Variations on Simulated Electrograms During Atrial Fibrillation., , , , , and . BIOSIGNALS, page 306-309. SciTePress, (2013)Lead and Carbon Monoxide Effects on Human Atrial Action Potential. In Silico Study., , , , and . CinC, www.cinc.org, (2017)Entropy Mapping Approach for Functional Reentry Detection in Atrial Fibrillation: An In-Silico Study., , and . Entropy, 21 (2): 194 (2019)Approximate Entropy Can Localize Rotors, but not Ectopic Foci during Chronic Atrial Fibrillation - a Simulation Study., , , , and . CinC, page 903-906. www.cinc.org, (2013)Continuous Wavelet Transform for Muscle Activity Detection in Surface EMG Signals During Swallowing., , and . WEA (2), volume 916 of Communications in Computer and Information Science, page 245-255. Springer, (2018)Feature selection for discrimination of fractionation levels in atrial electrograms., , , , and . EMBC, page 1595-1598. IEEE, (2014)Feature subset selection and classification of intracardiac electrograms during atrial fibrillation., , , , , and . Biomed. Signal Proc. and Control, (2017)