Electrocardiography (ECG) is a fundamental tool in cardiac health monitoring, generating waveform signals that reflect the heart's electrical activity. Traditionally, ECG analysis relies on human experts to interpret these complex waveforms, a process susceptible to fatigue and inter-observer variability. Automatic systems, leveraging advances in m

Computer-aided electrocardiogram interpretation has emerged as a vital tool in modern cardiology. This technology leverages advanced algorithms and machine learning to analyze ECG signals, recognizing subtle patterns and anomalies that may escape by the human eye. By providing prompt and accurate diagnoses, computer-aided systems can improve clini