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This authentic-time model analyzes the signal from an individual-guide ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is developed in order to detect other sorts of anomalies including atrial flutter, and can be continuously extended and improved.Our models are educated using publicly available datasets,