Enhancing Cardiac Anomaly Detection through Deep Learning Autoencoder: An In-Depth Analysis Using the PTB Diagnostic ECG Database

Enhancing Cardiac Anomaly Detection through Deep Learning Autoencoder: An In-Depth Analysis Using the PTB Diagnostic ECG Database

Cardiovascular diseases are the leading cause of mortality worldwide, necessitating advancements in early anomaly detection from electrocardiogram (ECG) signals. This study introduces a novel convolutional neural network (CNN)-based autoencoder architecture that significantly outperforms traditiona...

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Bibliographic Details
Main Author: Gregorius Airlangga
Format: Article
Language:English
Published: Universitas Islam Raden Rahmat 2024-01-01
Series:G-Tech
Subjects:
AutoEncoder; Anomaly Detection; CNN; ECG; MLP;
Online Access:https://ejournal.uniramalang.ac.id/index.php/g-tech/article/view/3921

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