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This actual-time model analyzes the signal from an individual-direct ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is created in order to detect other kinds of anomalies for example atrial flutter, and can be continually prolonged and improved.Sora builds on past investigation in DALL·E and GPT models.