A remote cardiac monitoring system for preventive care

Abstract

Remote monitoring of heart disease patients has been shown to be effective for diagnosis and detection of arrhythmias. We propose a remote cardiac monitoring system for preventive care by developing a decision support system with personalized parameters and an algorithm to predict forthcoming paroxysmal atrial fibrillations. The system consists of several physiological measuring devices, mobile gateways, point-of-care devices, and a monitoring server. The proposed prediction algorithm shows 87.5% accuracy.