The Monitoring System Development Of Pregnancy Induced Pregnancy Induced Hypertension Based On Smart Phone

Pregnancy induced hypertension(PIH)is a special disease in pregnant women.The incidence of the disease in China is about 9.4%,and the incidence rate in foreign countries is from 7% to 12%.The disease has caused great harm to the health of mother and child.It has now become one of the main causes of the onset and death of pregnant women and foetuses in pregnancy.Therefore,how to better predict and treat pregnancy induced hypertension and decrease the incidence of pregnancy induced hypertension has become the focus of attention of the society and family.At present,the sensitive index of prediction of pregnancy induced hypertension is mainly the changes of hemodynamic parameters such as vascular resistance and cardiac output.Therefore,in the sub clinical stage,dynamic analysis of hemodynamic parameters of pregnant women can achieve the early prediction of pregnancy induced hypertension,and effectively decrease the incidence of pregnancy induced hypertension.At the same time,with the development of science and technology,people put forward higher requirements for the modern medical services,pregnant women expect medical care and screening during pregnancy to be more convenient and can be achieved in the home care in pregnancy hypertension syndrome.The combination of mobile Internet and medical technology has created the possibility of realizing this model of home care.In view of the monitoring principle of pregnancy induced hypertension and the rigid demand of home monitoring for pregnancy induced hypertension,portable home pregnancy induced hypertension monitoring system is designed and implemented by this dissertation.The system consists of the hardware monitoring terminal,the smart phone APP and the cloud server.In this dissertation,intelligent hardware monitoring terminal is designed and implemented to detect pulse wave signal.A pulse wave signal denoising and feature point identification algorithm is proposed to analyze the key hemodynamic parameters.Meanwhile,the mobile phone APP and cloud server are mainly developed,which can display pulse wave curve and waveform parameter calculation results in real time,and store data in cloud server.The main contents of this dissertation are as follows:(1)Hardware monitoring terminal,which design and implement reliable pulse wave acquisition circuit,signal pre conditioning circuit,STM32 microprocessor circuit,Bluetooth NFC transmission circuit and system power module circuit.Pulse wave sensor acquisition circuit is mainly composed of a piezoelectric thin film composition,to achieve accurate acquisition of radial artery pulse wave;signal conditioning circuit for pulse shaping,signal amplification and filtering pre processing;STM32 microprocessor circuit complete the whole system control and pulse signal A/D conversion;Bluetooth NFC transmission circuit is responsible for the A/D converted pulse signal transmission to the mobile phone terminal;power management module provides the required voltage for the entire system,ensure the normal operation of the system.(2)Pluse waveform processing analysis algorithm: design denoising algorithm based on ensemble empirical mode decomposition(Ensemble Empirical Mode Decomposition,referred to as EEMD),the noise interference is suppressed effectively;Design the five point difference threshold algorithm to achieve the feature point detection of pulse wave pressure.According to the value of pulse Potter sign,the cardiovascular blood flow parameters are calculated and the risk of pregnancy induced hypertension is evaluated according to the formula of cardiovascular hemodynamics.(3)Smart phone APP and cloud server management software:based on i OS smart phone,the APP software is designed.The main functions include waveform display and analysis,communication management and system setup.Waveform display and analysis module mainly includes display and analysis for waveform and key hemodynamic parameters,and judge the possibility of PIH;Communication management includes Bluetooth communication management and wireless communication management.Cloud server management completes the design of cloud server architecture and database.By designing reasonable database tables and fields,it stores data of mobile APP uploaded and achieve persistent protection and sharing of cloud data.(4)System test and summary: do the system test of different modules and whole function,including the power consumption and the transmission performance of Bluetooth and so on.The function design of the whole system is summed up through the test results,and the improvement ideas are put forward.In this dissertation,the design of smart phone palm-based pregnant women with PIH monitoring system,based on hemodynamic test of pregnancy induced hypertension principle.It has realized the smart medical model that the hardware detection terminal,the mobile APP and the cloud server are closely integrated.Provides pregnant women with a solution to the problem of pregnancy-induced hypertension(HIE)home monitoring,which is of great significance to reduce the incidence of PIH in pregnant women and facilitates the detection of the pregnancy-induced hypertension.