Tag: deep learning in cardiac arrhythmias

Approaches for Localizing the Origin of PVCs in the Outflow Tract: Future Perspectives and Challenges

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Idiopathic ventricular arrhythmias (IVAs) are a type of arrhythmias with focal origins. The locations of most such arrhythmias have been identified and confirmed. In cases in which pharmacological treatment is ineffective or limited, radiofrequency catheter ablation is a therapeutic option whose success rate largely depends on accurate IVA localization.

The current standard approach for localizing the origin of IVAs involves comparing the normal electrocardiogram (ECG) with the characteristic ECG of the arrhythmia. This comparison includes analysis of parameters such as the QRS wave polarity in different leads, QRS duration, R/S ratio, and S-R difference in precordial leads.

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