Name
Abstract | ||
|---|---|---|
Atrial fibrillation is a progressive arrhythmia with increase in AF stability during its progression. AF progression goes in line with structural and electrophysiological changes. These alterations can make changes in electrophysiological parameters such as increase in number of waves, decrease in wave sizes, and increase in transmural conductions. In order to investigate which parameter has the largest effects on AF stability, we made a novel dual layer computer model and measured different read out parameters. Afterwards, a statistical test, multivariate logistic tests, was performed to extract contributions of different parameters on AF stability. Our study revealed endo-epicardial electrical activity dissociation is the most determinant parameter associate with AF stability. |
Year | Venue | Keywords |
|---|---|---|
2013 | 2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC) | electrical conductivity,cardiology,statistical testing |
Field | DocType | Volume |
Atrial fibrillation,Multivariate statistics,Internal medicine,Cardiology,Curse of dimensionality,Materials science,Electrophysiology | Conference | 40 |
ISSN | Citations | PageRank |
2325-8861 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Gharaviri | 1 | 5 | 1.87 |
| Sander Verheule | 2 | 2 | 2.69 |
| nico hl kuijpers | 3 | 0 | 0.34 |
| Ulrich Schotten | 4 | 1 | 4.76 |