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This true-time model analyzes the sign from one-guide 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 can be repeatedly prolonged and improved. By prioritizing activities, leveraging AI, and https://shanelmkig.wikilentillas.com/1410438/practical_ultra_low_power_endpointai_fundamentals_explained

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