A Deep Learning Approach for Atrial Fibrillation Classification Using Multi-Feature Time Series Data from ECG and PPG

Atrial fibrillation is a prevalent cardiac arrhythmia that poses significant health risks to patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and Photoplethysmogram, has gained attention due to their accessibility and ease of use. However, there are challenges as...

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Detalles Bibliográficos
Autores principales: Aldughayfiq, Bader, Ashfaq, Farzeen, Jhanjhi, N. Z., Humayun, Mamoona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377944/
https://www.ncbi.nlm.nih.gov/pubmed/37510187
http://dx.doi.org/10.3390/diagnostics13142442

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377944/
https://www.ncbi.nlm.nih.gov/pubmed/37510187
http://dx.doi.org/10.3390/diagnostics13142442

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