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This true-time model analyzes the signal from a single-guide ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is made to be able to detect other sorts of anomalies for instance atrial flutter, and can be continuously prolonged and improved.By prioritizing experiences, leveraging AI, and focusing on outcome