In the realm within modern healthcare, rapid diagnosis is paramount. Electrocardiograms (ECGs), which record the electrical activity of the heart, provide valuable insights for identifying cardiac abnormalities. However, manual ECG interpretation can be time-consuming, prone to human error. To address these challenges, automated analysis for ECGs h

The realm of healthcare is continually evolving with the integration of cutting-edge technologies. One such transformative area is automated electrocardiogram (ECG) analysis, where computer systems leverage sophisticated algorithms to interpret the electrical activity of the heart captured in ECG recordings. This advancements hold immense potential