Automatic Detection of Slow Conducting Channels during Substrate Ablation of Scar-Related Ventricular Arrhythmias.
Alejandro AlcaineBeatriz JáureguiDavid Soto-IglesiasJuan AcostaDiego PenelaJuan Fernández-ArmentaMarkus LinhartDavid AndreuLluís MontPablo LagunaOscar CamaraJuan Pablo MartínezAntonio BerruezoPublished in: Journal of interventional cardiology (2020)
The SCC-Mapping algorithm allows an operator-independent analysis of EGM signals showing better identification of the arrhythmogenic substrate characteristics when compared to standard voltage EAM.
Keyphrases
- deep learning
- machine learning
- catheter ablation
- heart failure
- high resolution
- left ventricular
- neural network
- structural basis
- loop mediated isothermal amplification
- real time pcr
- high density
- congenital heart disease
- atrial fibrillation
- bioinformatics analysis
- wound healing
- radiofrequency ablation
- mass spectrometry