Human-assisted vs. deep learning feature extraction: an evaluation of ECG features extraction methods for arrhythmia classification using machine learning

The success of arrhythmia classification tasks with Machine Learning (ML) algorithms is based on the handcrafting extraction of features from Electrocardiography (ECG) signals. However, feature extraction is a time-consuming trial-and-error approach. Deep Neural Network (DNN) algorithms bypass the p...

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Bibliographic Details
Main Author: Montenegro, Larissa (author)
Other Authors: Abreu, Mariana (author), Fred, Ana (author), Machado, José Manuel (author)
Format: article
Language:eng
Published: 2022
Subjects:
heart arrhythmia
convolutional neural network
support vector machines
handcrafted features
deep features
Engenharia e Tecnologia::Engenharia Médica
Science & Technology
Online Access:https://hdl.handle.net/1822/80331
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/80331

Internet

https://hdl.handle.net/1822/80331

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