Abstract: This work investigates ECG arrhythmia classification using two-dimensional convolutional neural networks (2D CNNs) applied to wavelet-based time–frequency representations. Three CNN ...
Abstract: The application of few-shot learning methods in electrocardiogram (ECG) signal analysis has attracted widespread attention. However, traditional methods face challenges in capturing the long ...
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