Name
Title | ||
|---|---|---|
An Extended Bayesian Framework for Atrial and Ventricular Activity Separation in Atrial Fibrillation. |
Abstract | ||
|---|---|---|
An extended nonlinear Bayesian filtering framework is introduced for the analysis of atrial fibrillation (AF), in particular with single-channel electrocardiographical (ECG) recordings. It is suitable for simultaneously tracking the fundamental frequency of atrial fibrillatory waves (f-waves), and separating signals, linked to atrial and ventricular activity, during AF. In this framework, high-pow... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JBHI.2016.2625338 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Electrocardiography,Signal to noise ratio,Kalman filters,Harmonic analysis,Time-frequency analysis,Adaptation models,Lead | Atrial fibrillation,Nonlinear system,Fundamental frequency,Pattern recognition,Computer science,Mean squared error,Gaussian,Harmonics,Beat (music),Artificial intelligence,Subtraction | Journal |
Volume | Issue | ISSN |
21 | 6 | 2168-2194 |
Citations | PageRank | References |
1 | 0.48 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ebadollah Kheirati Roonizi | 1 | 8 | 1.01 |
| Roberto Sassi | 2 | 139 | 19.26 |