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 to be able to detect other types of anomalies like atrial flutter, and will be constantly extended and enhanced. Our models are experienced using publicly https://digitalhealth98529.educationalimpactblog.com/56105150/detailed-notes-on-optimizing-ai-using-neuralspot