Design and Implementation of a Remote Diagnosis System for Congenital Heart Disease Based on DjangoRestFramework

Congenital heart disease, referred to as CHD, is a disease that seriously harms the health of children and adolescents. The earlier the treatment, the better the effect. The distribution of domestic medical resources is uneven, and the level of medical staff's auscultation is uneven, and it is impossible to provide accurate initial diagnosis results for patients with congenital heart disease. Many remote hospitals are not equipped with cardiac color ultrasound equipment and cannot make a final diagnosis of congenital heart disease. Therefore, the research integrates DjangoRestFramework and other framework technologies to design a set of congenital heart disease database management and remote auscultation system, adopting a front-end and back-end separation architecture to achieve low coupling and high cohesion procedures, which is convenient for later maintenance and management of the system. The system includes modules such as personnel management, collection information management, data statistics visualization, and uses wavelet to denoise the signals collected by Bluetooth heart sound devices. The algorithm effectively filters out environmental noises and physiological noises such as patient breathing, making the doctor's remote auscultation effect consistent with the effect of using a stethoscope. After the stress test, the system works well and can provide remote diagnosis services for congenital heart disease over the Internet for people in economically underdeveloped areas.