Automated classification of cardiac rhythms from electrocardiogram (ECG) signals is significant for diagnosis of cardiovascular dysfunctioning. A biggest challenge in automated ECG classification is ...

Background Screening to prevent sudden cardiac death remains a contentious topic in sport and exercise medicine. The aim of this study was to assess whether the use of a standardised criteria tool ...

Electrocardiogram (ECG) is a common diagnostic indicator of heart disease in hospitals. Because of the low price and noninvasiveness of ECG diagnosis, it is widely used for prescreening and physical ...

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This project tackles the classification of arrhythmias from electrocardiogram (ECG) signals using a dual-attention-based deep learning architecture. Utilizing the MIT-BIH Arrhythmia dataset, we ...

machine-learning medicine prototype multi-label-classification interpretability ecg-classification contrastive-learning prototype-learning prototype-based-models Updated 2 weeks ago Python ...

Code Switch producer, Xavier Lopez and NPR immigration reporter, Jasmine Garsd spend a day at Flushing Meadows Corona Park.