Abstract:

The present invention provides a system for predicting heart arrhythmia comprising a heart rhythm acquisition means, wherein the heart rhythm acquisition means collects a heart rate signal; an output device, wherein the output device presents the output of a prediction; a machine learning prediction module, wherein the machine learning prediction module collects information describing variability in the heart rate signal over a specific period of a heart rate variability over a time segment, and determining relevance of the variability described in the collection to predict ventricular arrhythmia; and a cloud server, wherein the cloud server receives the heart rate signal and outputs the results via a network.