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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 built in order to detect other types of anomalies which include atrial flutter, and can be constantly prolonged and improved.By prioritizing activities, leveraging AI, and focusing on resul