Detection of Atrial Fibrillation in Compressively Sensed Electrocardiogram for Remote Monitoring

The objective of this paper is to develop an optimized system to detect Atrial Fibrillation (AF) in compressively sensed electrocardiogram (ECG) for long-term remote patient monitoring. A three-stage system was developed to 1) reject ECG of poor signal quality, 2) detect AF in compressively sensed E...

Descripció completa

Dades bibliogràfiques

Autors principals:	Mohamed Abdelazez, Sreeraman Rajan, Adrian D. C. Chan
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2022-07-01
Col·lecció:	Frontiers in Electronics
Matèries:	signal quality assessment remote healthcare compressive sensing electrocardiogram machine learning atrial fibrillation
Accés en línia:	https://www.frontiersin.org/articles/10.3389/felec.2022.906689/full
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!