most citedClassification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 6 cited

Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks

Bartosz Grabowski, Przemysław Głomb, Wojciech Masarczyk +4

Interpretation of electrocardiography (ECG) signals is required for diagnosing cardiac arrhythmia. Recently, machine learning techniques have been applied for automated computer-ai…