Article

Convolutional Neural Network-Based ECG Signal Classification Model: A Study on Addressing Class Imbalance and Enhancing Model Interpretability

2024-05-20

Abstract excerpt

Convolutional Neural Networks (CNNs) are often criticized for their lack of transparency, acting as 'black boxes' in decision-making, a challenge compounded by class imbalance in ECG datasets, which limits their clinical application. This study introduces a CNN-based ECG signal classification model that enhances interpretability and addresses class imbalance through the Synthetic Minority Over-sampling T...

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Literature Corpus work: bedb0b3e-c33c-5881-9c3a-6df1cc9b263e
DOI: 10.20944/preprints202405.1290.v1

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