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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...

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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

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