Abstract:The electrocardiogram (ECG) has important clinical value for the early diagnosis of cardiovascular diseases. Recently, the performance of existing diagnosis models based on ECG data has improved with the introduction of deep learning (DL). However, the impact of various combinations of multiple DL components and/or the role of augmentation techniques on the diagnosis have not been sufficiently investigated in this field. In this sense, this study aims to design an integrated model consisting of diverse DL-base… Show more
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