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This actual-time model analyzes the sign from an individual-lead ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is built in order to detect other types of anomalies for instance atrial flutter, and will be consistently extended and enhanced.By prioritizing ordeals, leveraging AI, and focusing on results,