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 made in order to detect other types of anomalies including atrial flutter, and will be constantly extended and improved. As the quantity of IoT equipment increase, https://ambiq.ai/models/heart-arrhythmia-classification/