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Potential of Rule-Based Methods and Deep Learning Architectures for ECG Diagnostics

The main objective of this study is to propose relatively simple techniques for the automatic diagnosis of electrocardiogram (ECG) signals based on a classical rule-based method and a convolutional deep learning architecture. The validation task was performed in the framework of the PhysioNet/Comput...

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Principais autores: Giovanni Bortolan, Ivaylo Christov, Iana Simova
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2021-09-01
סדרה:Diagnostics
נושאים:
ECG
arrhythmia
features
rule-based method
convolutional neural network
GoogLeNet network
גישה מקוונת:https://www.mdpi.com/2075-4418/11/9/1678
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