Predicting Future Incidences of Cardiac Arrhythmias Using Discrete Heartbeats from Normal Sinus Rhythm ECG Signals via Deep Learning Methods

This study aims to compare the effectiveness of using discrete heartbeats versus an entire 12-lead electrocardiogram (ECG) as the input for predicting future occurrences of arrhythmia and atrial fibrillation using deep learning models. Experiments were conducted using two types of inputs: a combinat...

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Detalles Bibliográficos
Autores principales: Kim, Yehyun, Lee, Myeonggyu, Yoon, Jaeung, Kim, Yeji, Min, Hyunseok, Cho, Hyungjoo, Park, Junbeom, Shin, Taeyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487044/
https://www.ncbi.nlm.nih.gov/pubmed/37685387
http://dx.doi.org/10.3390/diagnostics13172849

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487044/
https://www.ncbi.nlm.nih.gov/pubmed/37685387
http://dx.doi.org/10.3390/diagnostics13172849

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