Search results for " Ectopic Atrial"
showing 3 items of 3 documents
Relevance of supraventricular runs detected after cerebral ischemia
2017
Objective:Prolonged ECG monitoring after stroke frequently reveals short paroxysmal atrial fibrillation (pAF) and supraventricular (SV) runs. The minimal duration of atrial fibrillation (AF) required to induce cardioembolism, the relevance of SV runs, and whether short pAF results from cerebral damage itself are currently being debated. We aimed to study the relevance of SV runs and short pAF detected by prolonged Holter ECG after cerebral ischemia during long-term follow-up.Methods:Analysis is from the prospective Find-AF trial (ISRCTN46104198). We included patients with acute cerebral ischemia. Those without AF on admission received 7-day Holter ECG monitoring. We differentiated patients …
Prognostic Role of Subsequent Atrial Tachycardias Occurring During Ablation of Persistent Atrial Fibrillation
2013
Background— The role of subsequent atrial tachycardias (AT) in the context of persistent atrial fibrillation (AF) remains undetermined. This study evaluated the prognostic role of subsequent ATs for arrhythmia recurrences after catheter ablation of persistent AF. Methods and Results— A total of 110 patients with persistent AF (63±9 years; 22 women; 61 long-lasting persistent AF) underwent pulmonary vein isolation followed by electrogram-guided ablation. After AF terminated to AT, patients were separated by the randomization protocol to receive either direct cardioversion (group A) or further ablation of subsequent ATs to sinus rhythm (group B). After a mean follow-up of 20.1±13.3 months af…
Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps
2017
Non-invasive localization of continuous atrial ectopic beats remains a cornerstone for the treatment of atrial arrhythmias. The lack of accurate tools to guide electrophysiologists leads to an increase in the recurrence rate of ablation procedures. Existing approaches are based on the analysis of the P-waves main characteristics and the forward body surface potential maps (BSPMs) or on the inverse estimation of the electric activity of the heart from those BSPMs. These methods have not provided an efficient and systematic tool to localize ectopic triggers. In this work, we propose the use of machine learning techniques to spatially cluster and classify ectopic atrial foci into clearly diffe…