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This true-time model analyzes the sign from an individual-guide ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is intended to be able to detect other types of anomalies such as atrial flutter, and can be consistently extended and improved.By prioritizing ordeals, leveraging AI, and focusing on results, o