Title | ||
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Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation |
Abstract | ||
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•The mechanisms of Atrial Fibrillation (AF) are imprecisely known.•AF drivers likely consist of premature stimuli and rotational features.•These drivers are not well localized and ablated to stop AF.•Quantitative models can be implemented to estimate driver properties.•Driver properties may be useful to direct catheter ablation. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.cmpb.2019.06.017 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Atrial fibrillation,Automaton,Dominant frequency,Electrograms,Model | Journal | 178 |
ISSN | Citations | PageRank |
0169-2607 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Edward J. Ciaccio | 1 | 165 | 30.79 |
Elaine Y. Wan | 2 | 3 | 1.68 |
Deepak S. Saluja | 3 | 0 | 0.34 |
Rajendra Acharya U | 4 | 4666 | 296.34 |
Nicholas S. Peters | 5 | 118 | 10.60 |
Hasan Garan | 6 | 15 | 7.97 |