Design Of Heart Sounds Analysis System Based On Qt

In recent years, as more and more people’s material life pressure and the improvement ofliving standards, the incidence of cardioascular disease grows year by year. The detection andaccurate analysis of heart sounds signal has become Much-needed skills to health careworkers. However, review the current heart sounds analysis system, traditional auscultationtechnology often asked the doctor with more than10years of experience, and cultivatingprofessional doctors need to take a long time. In order to solve the above problems, this paperputs forward a design of analysis system of heart sounds base on Qt.In recent years, as more and more people’s material life pressure and the improvement ofliving standards, the incidence of cardioascular disease grows year by year. Heart soundssignal detection and heart sounds accurate analysis has become Much-needed skills to healthcare workers. However, as the current heart sounds analysis system view, traditionalauscultation technology often asked the doctor with more than10years of experience, andcultivating professional doctors need to take a long time. In order to solve the above problems,this paper puts forward a design of analysis system of heart sounds base on Qt.Firstly, the paper introduces mechanism of pathogenesis of heart sounds and the presentdevelopment situation of analysis technology of heart sounds. Then, according the status ofdevelopment domestic and overseas, we come up with the design of analysis system of heartsounds base on Qt. The article ascertains a technical solution about features combination. Thesolution applies the diagnosis platform based on OMAP3530as hardware and Qt as a userinterface.Secondly, compared with the previous techniques of handling technologies of thefeatures combination of heart sounds, the article provides the relatively advanced technologyof features combination to fuse two groups of heart sounds characteristics. By fusing thedifferent features, we can eliminate redundancies between two features and largely use theinformation in the original heart sounds. By using the new combination features to classifyheart sound signals, we can obtain a high accuracy rating of features recognition. The article propose linear discriminant analysis used in features combination. Because the lowerrelevance features participate in combination, the more significant new feature can we get.Considering the extraction methods of the MFCC characteristics and LPCC characteristics aredifferent. Their relevance theory would be lower. That is why the article use MFCC featureand LPCC feature as the feature we need.Thirdly, the article use Dynamic Time Warping as the classification method. In order totest the robustness of the method of features combination, we propose another classificationmethod support vector machine. The article has compare with the different results come fromdifferent classification methods. The experiment indicates the recognition effect of multiplefeatures combination is obviously better than single feature. What’s more, the combinationmethod also suits different classification methods.Fourthly, the OMAP3530hardware of analysis system of heart sounds base on Qt isbased on Linux operating system. The OMAP3530module contains display module, heartsounds acquisition module, the core module, the power modules, touch screen module, JTAGdebug modules, storage module, USB interface module, RS-485interface circuit module,clock management module, etc. The paper in order to solve the difficult patients to see adoctor, the journey to rush about, and provides the adapter and RS-485bus to the remotediagnosis scheme of heart sounds analysis system.The article completes the compile of application program on the platform of Qt. Then,we use the cross compiler to compile the application program. Thirdly, we download theprogram to target board by download lines. The article offers a new platform for the analysisof heart sounds.