Doctor Dimitrios Tachmatzidis
Aristotle University of Thessaloniki, Thessaloniki (Greece)
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Presentation
Interpretable machine learning for predicting paroxysmal atrial fibrillation from automatically measured ECG features
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P-wave beat-to-beat analysis to predict atrial fibrillation recurrence after catheter ablation
Presentation
Beat-to-beat P-wave analysis outperforms conventional P-wave indices in identifying patients with a history of paroxysmal atrial fibrillation, during sinus rhythm
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P-wave beat-to-beat morphology analysis outperforms conventional P-wave indices in detecting patients with paroxysmal atrial fibrillation
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