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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| Format: | Article |
| Language: | English |
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Universitas Islam Raden Rahmat
2024-01-01
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| Series: | G-Tech |
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| Online Access: | https://ejournal.uniramalang.ac.id/index.php/g-tech/article/view/3921 |