The Research Of Cardiovascular Monitoring System Based On Multi-source Information Fusion

Heart sound signal is one of the most primary physiological signals.It contains a great deal of pathological information which belongs to each parts of heart,such as atria,ventricle and cardiovascular functional status.It is also an important essential parameter used to evaluate heart functional status. Before the development of cardiovascular disease having not yet been sufficient to produce clinical and pathological changes, the appearance of noise and distortion in phonocardiogram indicates some important information.There is abundant cardiovascular health information in pulse signal,so it has significant reference value for cardiovascular monitoring to record phonocardiogram and pulse diagram.At the basis of analyzing the situation of related research at home and aroad,this thesis has made more detailed description of multi-source information fusion theory. What's more,it has analyzed the advantages and disadvantages of several fusion methods. Dempster-Shafer evidence theory has been selected fmally,which has obvious advantages in dealing with uncertain information.Considering the weakness of D-S evidence theory and the requirement of monitoring system for real-time processing capability, reaching target dection as soon as possible,we resort to the BP neural network which has a good nonlinear mapping ability and self-learning ability.On the software design of monitoring system side,three friendly panels of monitoring system have been completed,including real-time sampling panel,signal analysis panel and record management panel at the platform of graphic virtual instrument development software LabVIEW 8.2. The software design mainly realizes heart sound and pulse sampling,display,processing,characteristics extracting,storage, playback,etc.On the data storage of monitoring system side,this thesis designs patients management database by use of database technology.In view of monitoring system visiting database real-timely, LabSQL is chosen to access database developed by Microsoft Access 2003,which is a small desktop relational database management system.This study makes good use of multi-source information fusion technology, neural network technology,digital signal processing technology,database technology,ect.The designed monitoring system acquires heart sound signal and pulse signal from digital heart sound sensor and pulse sensor,which reflect cardiovascular health.The characteristic parameters are obtained by virtue of computer processing and analysis. The use of intelligent information fusion method is used to observe whether the body's cardiovascular function is normal or not. The entire system itself has non-invasive, real-time advantages and so on.