| The speed of modern economic development is far beyond people’s expectation, people’s living standards have been improved. The advances in technology and diet are constantly improving our life. However the patients with cardiovascular disease are more than the past with these changes. Statistics show that the cardiovascular disease may become a common disease which threats most people. At the same time, the incidence of cardiovascular disease is becoming increasingly high. In the future, for the treatment of patients with cardiovascular disease and diagnosis will become the most important factors which affect the countries’ national health development.In the variety of detection methods for cardiovascular disease, the heart sound signal is a relatively common diagnosis. The heart sound signal contains a large amount of data to heart health status. This paper systematically studied the characteristics of heart sound signal which was based on the analysis of related work of domestic and foreign. This paper design a visual and portable heart sound analysis system which was based on DSP. The system can be divided into four parts: heart sound hardware acquisition system, de-noising algorithm, heart sound analysis algorithm design and the application software part.Hardware acquisition system is mainly based on DSP processing chip and hardware design. It includes the design of the heart sound sensor, power modules, audio modules, LCD display module, touch screen module, SD storage module. The DSP software programming part design the heart sound signal acquisition and display the heart sound signal. It also designed the touch screen control software and data storage functions.The PCG de-noising algorithm part processed a variety of wavelet de-noising algorithm. With the help of multiple data which acquired by hardware acquisition system, the paper has found out the most suitable de- noising algorithm.The PCG analysis algorithm design part processed two envelope algorithm, By using envelope algorithm, the system had distinguished the eigenvalue parameter of heart sound. The algorithm had got the parameters of S1 and S2. At the same time, the algorithm abstract the data which were related to the health of heart.The application software part designed the user interface which was featuring heart sound processing algorithms on the LabVIEW. This part also designed the database with MySQL. The database can achieve users information and users’ heart sound data. In this part, users can obtain history data at any time.The design had completed the design of the modules by testing system. The results showed that each module had achieved the desired objectives. It can be proved that the research of this paper is feasible. |