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A Lightweight Deep Learning Model for Fast Electrocardiographic Beats Classification With a Wearable Cardiac Monitor: Development and Validation Study

BACKGROUND: Electrocardiographic (ECG) monitors have been widely used for diagnosing cardiac arrhythmias for decades. However, accurate analysis of ECG signals is difficult and time-consuming work because large amounts of beats need to be inspected. In order to enhance ECG beat classification, machi...

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Detalles Bibliográficos
Autores principales:	Jeon, Eunjoo, Oh, Kyusam, Kwon, Soonhwan, Son, HyeongGwan, Yun, Yongkeun, Jung, Eun-Soo, Kim, Min Soo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2020
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099397/ https://www.ncbi.nlm.nih.gov/pubmed/32163037 http://dx.doi.org/10.2196/17037

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