Design And Realization Of Myocardial Ischemia Diagnosis Platform Based On Flink And Cardiodynamicsgram

Myocardial ischemia is a common cardiovascular disease in clinical practice,which seriously endangers people’s health.Cardiodynamicsgram(CDG)is a new method for diagnosing myocardial ischemia based on deterministic learning theory,which improves the diagnostic accuracy rate by analyzing and calculating the electrocardiogram(ECG).However,with the rapid growth of the demand for myocardial ischemia diagnosis,the traditional diagnosis platform can not realize the analysis and calculation of massive ECG data.In addition,the storage and management of massive data,as well as ensurement of data security,have become an urgent need at present.Aimed at the above problems,the thesis realizes a myocardial ischemia diagnosis platform based on Flink and CDG.The platform includes five layers:presentation layer,business layer,computing layer,data layer and support layer.The main work of the thesis is as follows:(1)A data computing scheme for massive data is proposed.The computing layer realizes the Flink cloud computing platform to solve the batch computing of massive ECG data and the streaming computing of small-scale ECG data.First of all,JNI(Java Native Interface)is realized for the C++ program of myocardial ischemia diagnosis based on CDG,so that it can run on the Flink cluster.Next,the thesis realizes Flink stream processing applications running on the Flink cloud computing platform.The cloud computing platform makes full use of the CPU resources of the server cluster to perform distributed computing on the ECG data,and can provide high-throughput and low-latency myocardial ischemia diagnostic services.The support layer is used to improve the resource management efficiency of the cloud computing platform and achieve high fault tolerance and high availability.(2)A data storage and management scheme for massive data is proposed.A private cloud is built in the data layer to store massive ECG and CDG data,while MySQL database could store file paths and structured data for reducing the pressure on the database.In order to realize the overall function of the platform,four functional modules were designed,including CDG diagnosis,medical record management,user management and platform management.The business layer realizes the business logic processing of each functional module based on the Spring Boot framework,and the presentation layer provides a concise and beautiful front-end interface which is easily operated and rich in functions.(3)A data security scheme is proposed to ensure the data security of the platform.Based on the hybrid encryption algorithm,the RESTful API encryption between the presentation layer and the business layer is realized to ensure the security of data transmission.Based on the LSB(Least Significant Bit)algorithm,the secure storage of massive ECG and CDG data in private cloud is realized to ensure the security of data storage.The authentication and authorization of platform users based on Spring Security is realized to ensure the security of data use.Based on the above research,the thesis is concerned with the realization of a safe and reliable myocardial ischemia diagnosis platform for rapid data calculation,efficient storage and effective management.