This true-time model analyzes the sign from one-guide ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is developed in order to detect other kinds of anomalies such as atrial flutter, and can be continuously extended and improved. Individualized overall health monitoring has become ubiquitous https://low-power-soc75296.fitnell.com/75240679/considerations-to-know-about-artificial-intelligence-platform
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