Why the study?
Does ResNet-50 improve accuracy of atrial fibrillation detection from ECG signals compared to DenseNet-121?
Does ResNet-50 improve accuracy of atrial fibrillation detection from ECG signals compared to DenseNet-121?
The ResNet-50 deep learning architecture provides highly accurate and robust detection of atrial fibrillation from ECG signals, outperforming DenseNet-121.
ResNet-50 may aid automated AF detection on ECG; leaves open prospective validation and clinical integration before practice change.
The application of deep learning techniques in the medical field, specifically for Atrial Fibrillation (AFib) detection through Electrocardiogram (ECG) signals, has witnessed significant interest. Accurate and timely diagnosi... | Find, read and cite all the research you need on Tech Science Press
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Irshad et al. (2024) studied Atrial Fibrillation (n=123,998). ResNet-50 vs. DenseNet-121 was evaluated on Validation accuracy.
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