A wearable watch type of device that tracks the pulses and gives estimation of susceptibility, severity or likeness of specific heart diseases using Machine learning and deep learning algorithms and these signals are monitored, analyzed continuously which alerts doctors, concerned clinicians for the patients who are at risk of heart disease. Using Convolution neural network algorithms to detect wide range of arrhythmia from electrocardiograms recorded with a single-lead wearable monitor. There is requirement of training a 40+ convolutional neural network which maps a sequence of ECG samples to a sequence of rhythm classes.
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