Feature extraction based on timesingularity multifractal spectrum distribution in intracardiac atrial fibrillation signals

Feature extraction based on timesingularity multifractal spectrum distribution in intracardiac atrial fibrillation signals

Non-linear analysis of electrograms (EGM) has been proposed as a tool to detect critical conduction sites (e.g., rotors vortex, multiple wavefronts) in atrial fibrillation (AF). Likewise, studies have shown that multifractal analysis is useful to detect critical activity in EGM signals. However, the...

Full description

Bibliographic Details
Main Authors: Robert D. Urda-Benitez, Andrés E. Castro-Ospina, Andrés Orozco-Duque
Format: Article
Language:English
Published: Instituto Tecnológico Metropolitano 2017-09-01
Series:TecnoLógicas
Subjects:
Cardiac signals
Detrended Fluctuation Analysis
multifractal singularity spectrum
nonlinear signal processing
time series analysis
Online Access:http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/1137/983

Internet

http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/1137/983

Similar Items