Abstract: Denoising electrocardiogram (ECG) signals is a critical task in arrhythmia analysis and diagnosis. However, traditional signal processing methods face limitations when addressing the ...
Abstract: This paper presents a novel approach for classifying electrocardiogram (ECG) signals in healthcare applications using federated learning and stacked convolutional neural networks (CNNs). Our ...
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