Cargando…
Clinical validation of an artificial intelligence algorithm offering cross-platform detection of atrial fibrillation using smart device electrocardiograms
INTRODUCTION: Multiple smart devices capable of “screening” for atrial fibrillation (AF) based on single-lead electrocardiogram (SL ECG) are presently available. Manufacturers' algorithm capabilities and accuracy for the automated detection of AF vary. Reliable artificial intelligence (AI) algo...
Autores principales: | Mannhart, D, Lefebvre, B, Gardella, C, Henry, C, Serban, T, Knecht, S, Kuehne, M, Sticherling, C, Badertscher, P |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779870/ http://dx.doi.org/10.1093/ehjdh/ztac076.2774 |
Ejemplares similares
-
Assessment of the atrial fibrillation burden in Holter ECG recordings using artificial intelligence
por: Hennings, E, et al.
Publicado: (2023) -
Impact of clinical expertise and choice of wearable device on accuracy to detect atrial fibrillation via single-lead ECGs
por: Weidlich, S, et al.
Publicado: (2023) -
Technical characterization of the single-lead electrocardiogram signal from four different smartwatches and its clinical implications
por: Knecht, S, et al.
Publicado: (2023) -
Sex-specific differences in infranodal conduction properties in patients undergoing transcatheter aortic valve replacement
por: Serban, T, et al.
Publicado: (2023) -
Pulsed-field ablation versus single catheter high-power short-duration radiofrequency ablation for atrial fibrillation: procedural characteristics, myocardial injury and midterm outcomes
por: Weidlich, S, et al.
Publicado: (2023)