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This true-time model analyzes the signal from an individual-lead ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is designed to be able to detect other kinds of anomalies for example atrial flutter, and will be constantly extended and enhanced. Sora builds on earlier research in DALL·E and GPT models.