This authentic-time model analyzes the signal from an individual-guide ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is designed to be able to detect other types of anomalies for example atrial flutter, and can be repeatedly prolonged and enhanced. By prioritizing experiences, leveraging AI, https://low-power-semiconductors31963.dm-blog.com/33948356/how-much-you-need-to-expect-you-ll-pay-for-a-good-artificial-intelligence-platform