Cardiovascular Disease, Health Assessment Of The Key Technologies

China is a country of high incidence of cardiovascular disease, it will be advantage to develop a comfortable, convenient and cost-effective quantitative detection methods; to quickly grasp and assess the human cardiovascular physiological and pathological state; particularly, to make clinical tests of cardiovascular diseases such as atherosclerosis to be routine examination items, such that it will be very beneficial to control the occurrence and development of cardiovascular disease.In this paper, a multi-parameter monitor was used to synchronously acquire the electrocardiogram, photoplethysmography, and respiratory wave signals, which were analyzed and processed respectively, and basis on this, the correlation between the feature points of electrocardiogram and photoplethysmography signal was determined, and thus got the most relevant feature points of them, accordingly, a principle was provided to utilize photoplethysmography signals doing alternatively analysis of heart rate and heart rate variability.Meanwhile, based on association analysis of electrocardiogram and photoplethysmography signals, according to the pulse wave propagation theory, a more accurate method was provided to measure pulse wave velocity, so as to avoid the shortcomings of the traditional method of measurement using pressure sensors.During the process, in order to elaborated the characteristics of the photoplethysmography signal in details, a concept of characteristics area ratio of the photoplethysmography signals was firstly proposed, through experiments and data analysis, its significant value for the compliance of blood vessel was verified.In addition, the empirical mode decomposition method was introduced to decompose the photoplethysmography signals, an analysis method to accurately extract the parameters of impedance respiratory wave from the photoplethysmography signals was proposed, so as to provide a basis for improved design of respiratory monitoring devices.Finally, using the combination of C# and MATLAB association programming techniques, take application of Framingham risk analysis as an assessment of cardiovascular health management model, it developed a utility software platform to evaluate cardiovascular diseases.