Study On Wearable Continuous Blood Pressure Monitoring System With Multivariate And Multimode

Cardiovascular and cerebrovascular diseases pose a serious threat to human health.Hypertension is the leading cause of death in the world.The prevention,diagnosis and treatment of hypertension have become an important subject of medical research.The wearable continuous blood pressure measurement can monitor human blood pressure and other important physiological parameters without affecting the daily life of users,help patients to know their blood pressure changes in time,and realize early warning of hypertension.Therefore,this paper focuses on the wearable continuous blood pressure monitoring system.By comparing various continuous blood pressure measurements,a wearable multimodulus continuous blood pressure monitoring system is designed.Firstly,by analyzing the formation mechanism of blood pressure and pulse wave,the relationship between pulse wave and blood pressure is studied.According to characteristic point analysis of pulse wave,the relation model between pulse wave characteristic parameter and blood pressure is established.The blood pressure measurement scheme based on pulse wave is determined,the demand is determined,and the overall scheme design of the system is worked out.Secondly,the hardware circuit and software module of wearable blood pressure monitoring system are designed.The sensor node is designed by using fabric electrode,ECG signal conditioning module,pulse signal collection module and micro-controller.Bluetooth technology is used for data transmission.The monitoring software is developed on the Android upper computer to realize real-time monitoring of ECG and pulse signals and calculation of blood pressure.Certificate can be used for continuous blood pressure monitoring without affecting the daily life of users.Then,the continuous blood pressure monitoring model was studied.Wavelet transform is used for signal pre-processing and denoising;DOM algorithm is selected for R-wave detection by comparing five ECG QRS detection algorithms;improved double threshold difference algorithm is used to extract pulse wave feature points.Aiming at the relationship between pulse wave characteristic parameters and pulse wave transmit time and blood pressure,six pulse wave characteristic parameters are selected to establish a blood pressure calculation model based on ridge regression.Finally,relevant experiments are designed to test and verify the wearable blood pressure measurement system and analyze the experimental data.The wearable blood pressure monitoring system was used for ECG,pulse data acquisition and synchronous blood pressure measurement with electronic sphygmomanometer.Twenty groups of data were randomly selected as test sets,and the rest were used for model training.Comparing with the measured values of standard electronic sphygmomanometer by correlation analysis,error analysis and Bland-Altman consistency statistical analysis,the results show that the wearable multi-modulus continuous blood pressure measurement system and the electronic sphygmomanometer have consistency and interchangeability,and verify the effectiveness of the system.