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 built to be able to detect other types of anomalies such as atrial flutter, and will be continuously prolonged and enhanced. Our models are experienced using https://low-power-ic42964.ourcodeblog.com/34226667/ai-development-options