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ECG-Based Arrhythmia Classification Using Discrete Wavelet Transform and Attention-Enhanced CNN-BiGRU Model

2025-04-10

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<title>Abstract</title> <p>Electrocardiogram (ECG)-based arrhythmia classification is vital for the early detection and diagnosis of heart diseases. However, raw ECG signals are often noisy, which poses challenges for accurate classification. In this paper, we propose a novel approach that integrates discrete wavelet transform (DWT) for signal denoising with an Attention-Enhanced Convolutional Neural Network-Bidi...

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Literature Corpus work: c0571657-f110-5ccc-a5b7-5836e285ac3b
DOI: 10.21203/rs.3.rs-6274755/v1

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