Cargando…
Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation
We propose a new algorithm to predict the outcome of direct-current electric (DCE) cardioversion for atrial fibrillation (AF) patients. AF is the most common cardiac arrhythmia and DCE cardioversion is a noninvasive treatment to end AF and return the patient to sinus rhythm (SR). Unfortunately, ther...
Autores principales: | Sterling, Mark, Huang, David T., Ghoraani, Behnaz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450306/ https://www.ncbi.nlm.nih.gov/pubmed/26120354 http://dx.doi.org/10.1155/2015/527815 |
Ejemplares similares
-
Characterization of Electrograms from Multipolar Diagnostic Catheters during Atrial Fibrillation
por: Ganesan, Prasanth, et al.
Publicado: (2015) -
Atrial fibrillation source area probability mapping using electrogram patterns of multipole catheters
por: Ganesan, Prasanth, et al.
Publicado: (2020) -
Locating Atrial Fibrillation Rotor and Focal Sources Using Iterative Navigation of Multipole Diagnostic Catheters
por: Ganesan, Prasanth, et al.
Publicado: (2019) -
Iterative navigation of multipole diagnostic catheters to locate repeating‐pattern atrial fibrillation drivers
por: Ganesan, Prasanth, et al.
Publicado: (2019) -
The Impact of Right Atrial Size to Predict Success of Direct Current Cardioversion in Patients With Persistent Atrial Fibrillation
por: Döring, Christoph, et al.
Publicado: (2023)