Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets

Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets

The Electrocardiogram (ECG) is a low-cost exam commonly used to diagnose abnormalities in the cardiac cycle. Over the years, the scientific community has investigated the automatic classification of ECG signals driven by advanced Machine Learning (ML) techniques. Despite recent scientific advances,...

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Bibliographic Details
Main Authors: M. M. Eduardo Vasconcellos, Bruno Georgevich Ferreira, Jorge S. Leandro, Baldoino F. S. Neto, Filipe Rolim Cordeiro, Idagene A. Cestari, Marco A. Gutierrez, Alvaro Sobrinho, Thiago D. Cordeiro
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Electrocardiogram
machine learning
few-shot learning
siamese neural networks
heartbeat classification
Online Access:https://ieeexplore.ieee.org/document/10015021/

Internet

https://ieeexplore.ieee.org/document/10015021/

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