This real-time model analyzes the signal from a single-lead 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 repeatedly prolonged and enhanced. Sora builds on previous research in https://mariottrur.mpeblog.com/59534077/details-fiction-and-ai-news