Research And Implementation Of Continuous Blood Pressure Measurement Based On Pluse Wave

The pace of life is accelerating,and the irrational diet and rest patterns lead to a sustained increase in the incidence of cardiovascular diseases,in order to reduce delays caused by untimely findings,people need a non-invasive method for real-time continuous monitoring of blood pressure and cardiovascular changes,monitoring physical changes at any time,and detecting diseases for treatment.The pulse wave signal contains a large number of human physiological and pathological information,which can reflect the health of the body.The pulse wave signal is affected by various factors,including cardiac parameters,blood vessel parameters,human activities,and mental states.Therefore,studying the relationship between pulse wave characteristic parameters and blood pressure and other cardiovascular diseases,and realizing noninvasive continuous monitoring of blood pressure using characteristic parameters of pulse wave is of great significance and value for clinical medical diagnosis and monitoring.The research and implementation of a pulse-based non-invasive continuous blood pressure measurement system is explained in detail in this article.The pulse wave signal is collected in real time using the fingertips,and the system is small in volume and power consumption,which is convenient to carry.The system can complete the real-time data acquisition,processing,analysis and display,and can also save the pulse wave data to the database and display the historical blood pressure value.The main research work and achievements of this project include the following aspects:(1)The formation principle and influencing factors of pulse wave and blood pressure are analyzed.The characteristics of pulse wave and the noise that affect pulse wave are introduced.The method of removing pulse wave noise is experimentally analyzed,and the algorithm of extracting feature points is designed.(2)The relationship between pulse wave characteristic parameters and blood pressure was studied,and a prediction model was established to predict blood pressure.In order to avoid the nonlinearity and complexity of pulse wave data,we use wavelet neural network prediction model and recurrent neural network LSTM prediction model to predict and analyze blood pressure.(3)A non-invasive continuous blood pressure measurement system based on pulse wave is implemented.In this system,the real-time storage of pulse wave data and the calculation of blood pressure value are carried out in the main control module,and the display module can display the result of blood pressure in real time.Pulse wave data can be transmitted to the back end database through Bluetooth,which can realize historical data query and large data processing.(4)System verification and analysis of experimental results.The OMRON digital sphygmomanometer and the system's blood pressure measurement prototype based on pulse wave were used for testing.The OMRON sphygmomanometer measurement values and system prototype measurement values were analyzed for errors.The error analysis results met the standard error range,which proved that the system method is feasible.