The Research Of Pulse Wave Real-time Analysis Technology And The Design Of Diagnostic System

Currently, because of the high incidence and low cure rate, heart disease and othercardiovascular circulatory system diseases are the most major threat to human life and health. Ifwe can’t prevent and treat it effectively, it will become a serious problem which impact on thedevelopment of our country’s future. With the continuous development of science and technology,the high-tech medical equipments have brought the gospel to the patients, but it has also broughtheavy pressure to the family and the community because of the accompanying high medical costs.Thus the research of analysis technology which is simple, accurate, safe, low-costbecomes extremely important. Firstly, pulse is an important sign of human life who is alive, itis the external appearance of the heart and blood periodic motion, including rich physiologicaland pathological information about the cardiovascular system. Secondly, the long history of pulsetheory has laid a solid theoretical foundation to the research of the pulse wave. Finally, it is easyto collect the pulse wave. So the analysis technology of the pulse wave becomes more suitable forthe prevention and control of cardiovascular diseases.Firstly, this paper introduces the related research history of the pulse wave, and thendescribes its formation mechanism, characteristics and the current waveform analysis method.This paper also briefly elaborates cardiovascular hemodynamic theory and the mathematicalmodels built by the research workers who want to calculate hemodynamic parameters.Based on these theories, we successfully carried out the research of the pulse waveformanalysis and various cardiovascular hemodynamic parameters. Firstly, we adopt the adaptivefiltering arithmetic mean method and wavelet transform method as the pretreatment to removepower frequency interference and baseline drift effects. Secondly, we extracted features of thepulse wave information by using time domain, frequency domain and some other modern signalprocessing technologies. We adopt some previous outstanding algorithms and then do someimprovements, which applied to the analysis of the pulse signal, including the N-pointdifference threshold, inflection point and wavelet modulus maxima method. Such as the improvedN-point difference threshold method increasing the accuracy of the feature information detectionrate through the restrictions in time, amplitude and many other aspects. This paper combines alarge number of references and mathematical model based on the pulse of image analysis whencalculating the parameters. We sort and deduce 8 categories parameter formulas, such as bloodpressure, pump function, microcirculation and other hemodynamic parameters.This paper designs an auxiliary diagnosis system based on the above pulse analysis theories and the hemodynamic parameters formulas. The system can read data from a database whichstores real-time pulse signal data from the end acquisition device. Then the system cancomplete functions including the automatic analysis and the calculation of hemodynamicparameters, it has achieved the remote monitoring to certain extent. It is also simple to use,suitable for a variety of user groups. To verify the effectiveness of the algorithm and the accuracyof the system, we do a lot of performance testing and experimental verification. The resultsproved that the system has a reliable accuracy. It is fit for remote monitoring of heart disease andcardiovascular circulatory system diseases.Finally, we do a summary of this work and the prospects for future research. We made apreliminary exploration of the disease diagnosis and prediction field.