Cloud-based Dynamic Electrocardiogram Monitoring and Analysis System

Dynamic electrocardiogram (ECG) monitoring is significantly superior to conventional static ECG inspection in application scope and clinical study. With the increasing number of guardianship and healthcare category, health surveillance platform will produce a large number of monitoring data. The traditional monitoring technology has been unable to effectively resolve the management and analysis of those generated large data. To solve these problems, this paper proposed a cloud-based dynamic ECG monitoring and analysis system. First of all, the use of acquisition sensors for acquisition, direct access to dynamic ECG signal and acceleration data; Secondly, these sensors send the gathered data to the terminal by Bluetooth for display and further process; then, the terminal will send the generated data to Cloud Storage platform for storage. The Cloud platform utilize generic hierarchical Service Modeling Framework and Cloud Storage which is consist of relational database storage (MySQL) and distributed file system storage (HDFS). Finally, utilizing MapReduce computing framework for data mining, medical statistics and similarity correlation analysis of diseases can help expert to make a health improvement plan and guide users to manage their own health. The proposed system can also allow users to better understand their own physical condition and achieve the purpose of disease monitoring and early warning.