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This actual-time model analyzes the sign from an individual-direct ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is intended to be able to detect other types of anomalies for example atrial flutter, and can be continuously extended and enhanced. Sora builds on past research in DALL·E and GPT models.