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 ...
Abstract: Early detection of arrhythmias is crucial for preventing severe cardiac events and improving patient outcomes. Traditional ECG classification methods struggle to capture complex temporal and ...
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