In this project, 8 types of cardiac arrhythmia including PAC, PVC, Afib, AF, SVT, SB, Normal, STach, and are dangerous to human health were classified using a deep learning-based approach overlooking the goal.
The architecture provided for classification achieved recall and precision of more than 85 percent