An Embedded System Using Convolutional Neural Network Model for Online and Real-Time ECG Signal Classification and Prediction

This paper presents an automatic ECG signal classification system that applied the Deep Learning (DL) model to classify four types of ECG signals. In the first part of our work, we present the model development. Four different classes of ECG signals from the PhysioNet open-source database were selec...

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Detalles Bibliográficos
Autores principales: Caesarendra, Wahyu, Hishamuddin, Taufiq Aiman, Lai, Daphne Teck Ching, Husaini, Asmah, Nurhasanah, Lisa, Glowacz, Adam, Alfarisy, Gusti Ahmad Fanshuri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033157/
https://www.ncbi.nlm.nih.gov/pubmed/35453842
http://dx.doi.org/10.3390/diagnostics12040795

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033157/
https://www.ncbi.nlm.nih.gov/pubmed/35453842
http://dx.doi.org/10.3390/diagnostics12040795

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