Study On The Method Of Measuring Blood Pressure Remote Physiological Parameter System

Cardiovascular disease has become the primary diseases endangering human healt h. Hypertension is one of the common diseases of cardiovascular system. Blood pressu re is an important physiological parameters that can reflect the state of the heart and b lood vessels in the human body. There is a close causal relationship between the incid ence and mortality of cardiovascular disease in size of the blood pressure value. but n ow the most of the electronic sphygmomanometer have the shortcomings that accurate is not enough. This will lead to the electronic sphygmomanometer can not accurately determine whether the risk of human pathological. So the more accurate measurement of blood pressure and abnormal blood pressure changes in the status of judges are of great significance in the prevention of cardiovascular disease caused by the human ca sualties.In this paper, an infrared pulse sensor, electronic blood pressure sensor module te mperature sensor, Bluetooth module and STM32F103ZET6 microprocessor chip are de signed human physiological parameter monitoring system platform. Realization of real time measurement of body temperature and pulse, blood pressure values, and can achi eve real-time synchronization to the host computer and realize the display function. Th e monitoring system platform for collecting pulse wave signal using the ensemble emp irical mode decomposition(EEMD) for processing. First of all, through the experiment al data by multiple linear regression analysis of mathematical relationship model of th e above physiological parameters and prediction of electronic blood pressure correction value, from the experimental analysis that is nonlinear between them. And pulse wav e signal processed for feature extraction and the monitor system platform acquisition e lectronic blood pressure value, body temperature and other physiological parameters(a ge, gender, height, weight and so on) is combined with the processing characteristic p arameters of pulse wave and BP neural network to process the collected data to obtain the final electronic blood pressure value correction model. The experimental data wer e processed using the main component of the neural network and RBF neural network that obtained for each method of electronic blood pressure values corresponding corre ction model. Both of these methods and the BP neural network model to predict the v alue of the resulting error analysis, and analysis of the characteristics of the three met hods and how to improve. And carry on the experiment to the BP neural network model. Finally, the idea of the change in blood pressure may lead to the emergence of human abnormal conditions, The establishment of a second-order differential changes i n blood pressure based model, when the blood pressure reaches a set threshold, indicat ing that may be dangerous to human health, the system will call the police.Experimental results showed that, construction of human physiological parameters monitoring platform can acquisition the blood pressure, pulse and temperature signal of real-time and display the values that for the subsequent electronic blood pressure va lue correction model provides a better data base. Electronic blood pressure correction model based on BP neural network that based on the corresponding input data can get electronic blood pressure correction value prediction. On the basis of the results of th e electronic blood pressure values and the real gap decreases blood pressure. At the s ame time changes in blood pressure can be an accurate model of the human blood pre ssure monitoring health status, it can be effective for a threshold alarm function.For el ectronic measurement of blood pressure provides a new idea.