Ventricular Fabrication Prediction Approach Based on Cloud-Mobile Healthcare Platform

Sudden Cardiac Death (SCD) is an important risk factor for primary Ventricular Fibrillation (VF). This paper presents a prediction algorithm of VF based on Cloud-Mobile Healthcare platform. This algorithm applies heart rate variability (HRV) features and neural fuzzy network. The neural fuzzy network´s input features are obtained by linear and nonlinear features of HRV. The experimental results show that the combination of features can predict VF by the accuracy of 65% for the five minutes intervals, before VF occurrence. It has been implemented in Cloud-Mobile Healthcare Platform. This Cloud-Mobile Healthcare Platform meets heart patient´s requirements of early detection of outside the hospital.