The Real-time Holter Monitoring, Management And Service System Based On Mobile Internet Of Things

Relevant statistics show that cardiovascular diseases have become one of the main diseases of the global threats to human health life. And ECG is widely used all over the world for Heart disease examination and diagnosis. Dynamic ECG compared with static ECG has a higher arrhythmia detection rate. But still it need professional doctors’post-mortem analysis and diagnosis and it’s unable to provide real-time monitoring information and warnings for patient. These problems contribute to the social medical resources shortage.In order to alleviate the difficulty of getting medical service of cardiovascular disease, to provide more convenient services of early warning and diagnosis of arrhythmia and to provide monitoring records management, In this paper, the real-time Holter monitoring, management and service system based on mobile internet of things is designed and implemented, its main research content mainly includes the following points:1. Analyze the real-time Holter monitoring, management and service system, and put forward the two pathway, three analysis solution of the three layer system architecture;2. Focus on the automatic identification algorithm of ECG electrode misplacement based on 3 leads and the ECG signal quality evaluation algorithm based on 1 lead, correlation coefficient method is used to extract the characteristic value, and then establish a logistic regression model to train the automatic identification model of ECG electrode misplacement, extract the single channel ECG waveform’s QRS energy ratio, kurtosis and baseline energy ratio as the characteristic value, and then set up the artificial neural network model to train getting ECG signal quality evaluation model.3. Design and implement the Android mobile client based on Bluetooth 4.0. The data link layer protocol is designed to guarantee the stability of data transmission through Bluetooth 4.0. Based on the protocol, we implemented the Android mobile client to command the ECG real-time collection terminal and to display, analyze, store and synchronize the ECG data.4. Design and implement the mobile health management and service cloud platform. The web client is based on Yii framework, the background automation analysis program is designed to poll data to analyze and the cloud platform of management and services is based on RESTful architecture.