Cargando…
A Review of Atrial Fibrillation Detection Methods as a Service
Atrial Fibrillation (AF) is a common heart arrhythmia that often goes undetected, and even if it is detected, managing the condition may be challenging. In this paper, we review how the RR interval and Electrocardiogram (ECG) signals, incorporated into a monitoring system, can be useful to track AF...
Autores principales: | Faust, Oliver, Ciaccio, Edward J., Acharya, U. Rajendra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7246533/ https://www.ncbi.nlm.nih.gov/pubmed/32365521 http://dx.doi.org/10.3390/ijerph17093093 |
Ejemplares similares
-
Hybrid Decision Support to Monitor Atrial Fibrillation for Stroke Prevention
por: Lei, Ningrong, et al.
Publicado: (2021) -
A Smart Service Platform for Cost Efficient Cardiac Health Monitoring
por: Faust, Oliver, et al.
Publicado: (2020) -
Review of Deep Learning-Based Atrial Fibrillation Detection Studies
por: Murat, Fatma, et al.
Publicado: (2021) -
Automated Arrhythmia Detection Based on RR Intervals
por: Faust, Oliver, et al.
Publicado: (2021) -
Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future Perspectives
por: V., Vidhya, et al.
Publicado: (2021)