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This genuine-time model analyzes the sign from an individual-lead ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is made in order to detect other kinds of anomalies which include atrial flutter, and will be repeatedly extended and improved.By prioritizing experiences, leveraging AI, and focusing on resul