Arrhythmia Classification Using EFFICIENTNET-V2 with 2-D Scalogram Image Representation

M Furqon, SMS Nugroho, RF Rachmadi… - 2021 TRON …, 2021 - ieeexplore.ieee.org
Cardiovascular disease is part of global death's main cause. It is the term for all types of
diseases that affect the heart or blood vessels. Heart disease is a type of cardiovascular …

Bundle Branch Block Classification Based on Two Leads ECG using Random Forest

ESH Nurdiniyah, H Zakaria - 2022 International Symposium on …, 2022 - ieeexplore.ieee.org
Arrhythmia is a heart disease that causes the heart to beat abnormally. One of the most
common types of arrhythmia is Bundle Branch Block (BBB). Two types of bundle branch …

Federated Learning Applied to Arrhythmia Detection on Electrocardiograms

RS Couto, LC Favaro - 2023 IEEE Virtual Conference on …, 2023 - ieeexplore.ieee.org
Federated learning is an approach to training machine learning models without the
dependency on centralized data, ensuring privacy and security for data owners. This …

[PDF][PDF] APRENDIZADO FEDERADO APLICADOA DETECCAO DE ARRITMIAS EM ELETROCARDIOGRAMAS

LC Favaro - 2022 - gta.ufrj.br
RESUMO O aprendizado federado é uma abordagem que permite que modelos baseados
em aprendizado de máquina sejam desenvolvidos sem a necessidade da centralizaçao do …

A Novel Deep Learningbased Model for the Efficient Classification of Electrocardiogram Signals

S Mehata, RA Bhongade, R Rangaswamy - Cardiometry, 2022 - search.proquest.com
To manage healthcare, an electrocardiogram, often known as an" EKG" or" ECG", is a
measurement of the electrical activity of the organ" heart". Deep Learning (DL) or Deep …