Evaluation of Atrial Fibrillation Detection in Short-Term Photoplethysmography (PPG) Signals Using Artificial Intelligence

Background Atrial fibrillation (AFIB) is a common atrial arrhythmia that affects millions of people worldwide. However, most of the time, AFIB is paroxysmal and can pass unnoticed in medical exams; therefore, regular screening is required. This paper proposes machine learning (ML) methods to detect...

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Detalles Bibliográficos
Autores principales: Talukdar, Debjyoti, De Deus, Luis Felipe, Sehgal, Nikhil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Cardiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568237/
https://www.ncbi.nlm.nih.gov/pubmed/37842400
http://dx.doi.org/10.7759/cureus.45111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568237/
https://www.ncbi.nlm.nih.gov/pubmed/37842400
http://dx.doi.org/10.7759/cureus.45111

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