Multiclass Arrhythmia Detection and Classification From Photoplethysmography Signals Using a Deep Convolutional Neural Network

BACKGROUND: Studies have reported the use of photoplethysmography signals to detect atrial fibrillation; however, the use of photoplethysmography signals in classifying multiclass arrhythmias has rarely been reported. Our study investigated the feasibility of using photoplethysmography signals and a...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Zengding, Zhou, Bin, Jiang, Zhiming, Chen, Xi, Li, Ye, Tang, Min, Miao, Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075456/
https://www.ncbi.nlm.nih.gov/pubmed/35322685
http://dx.doi.org/10.1161/JAHA.121.023555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075456/
https://www.ncbi.nlm.nih.gov/pubmed/35322685
http://dx.doi.org/10.1161/JAHA.121.023555

Ejemplares similares