Arrhythmia Classification Using EFFICIENTNET-V2 with 2-D Scalogram Image Representation
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 …
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 …
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 …
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 …
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 …
measurement of the electrical activity of the organ" heart". Deep Learning (DL) or Deep …