Research and Design of Atrial Fibrillation Early Warning Service System Based on Mobile Internet

Atrial fibrillation is closely related to hypertension. In view of the few studies on the combination of atrial fibrillation and blood pressure, an atrial fibrillation sphygmomanometer which can measure both atrial fibrillation and blood pressure simultaneously is developed. Meanwhile, a cloud platform for atrial fibrillation early warning service and a discriminant model for atrial fibrillation are built. Supported by mobile Internet, Internet of Things and cloud computing, with atrial fibrillation and hypertension as the research object, an atrial fibrillation model was established by mixing circulating neural network (RNN) and short-term memory network (LSTM). Then we applied the model to MIT-BIH Atrial Fibrillation Database and results verified that the accuracy is as high as 98.9%. Finally, to make the system more comprehensive, we developed patient-side and physician-side APPs, including atrial fibrillation recognition, physician teleservice and health care recommendations, and doctors monitor patient synopsis in real time and provide personalized medical services.