Cargando…
Sudden Cardiac Risk Stratification with Electrocardiographic Indices - A Review on Computational Processing, Technology Transfer, and Scientific Evidence
Great effort has been devoted in recent years to the development of sudden cardiac risk predictors as a function of electric cardiac signals, mainly obtained from the electrocardiogram (ECG) analysis. But these prediction techniques are still seldom used in clinical practice, partly due to its limit...
Autores principales: | Gimeno-Blanes, Francisco J., Blanco-Velasco, Manuel, Barquero-Pérez, Óscar, García-Alberola, Arcadi, Rojo-Álvarez, José L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4780431/ https://www.ncbi.nlm.nih.gov/pubmed/27014083 http://dx.doi.org/10.3389/fphys.2016.00082 |
Ejemplares similares
-
Commentary: Sudden Cardiac Risk Stratification with Electrocardiographic Indices - A Review on Computational Processing, Technology Transfer, and Scientific Evidence
por: Verrier, Richard L.
Publicado: (2016) -
Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (I): Preprocessing and Bipolar Potentials
por: Caulier-Cisterna, Raúl, et al.
Publicado: (2020) -
Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (II): Electrogram Clustering and T-Wave Alternans
por: Caulier-Cisterna, Raúl, et al.
Publicado: (2020) -
Noise Maps for Quantitative and Clinical Severity Towards Long-Term ECG Monitoring
por: Everss-Villalba, Estrella, et al.
Publicado: (2017) -
On the Beat Detection Performance in Long-Term ECG Monitoring Scenarios
por: Melgarejo-Meseguer, Francisco-Manuel, et al.
Publicado: (2018)