Study On Intelligent Screening System For Pregnancy Induced Hypertension

Hypertensive disorders of pregnancy(HDP),referred to as pregnancy induced hypertension,is a common Complications of pregnancy.The incidence rate of this disease in China is about 9.4%,which is one of the main causes of maternal and fetal deaths;Early prediction,intervention,and treatment are the key to reducing maternal and fetal disease rates and mortality rates.Pulse wave signals contain rich cardiovascular physiological and pathological information.Analyzing pulse wave signals to obtain relevant hemodynamic parameters is an important indicator for early clinical prediction of HDP.With the development of technologies such as Bluetooth and wireless internet,the use of smartphone apps can achieve intelligent and portable design of HDP monitoring systems,providing technical support for early prediction of HDP.This article focuses on the demand for early prediction of HDP and conducts research on an intelligent screening system for pregnancy induced hypertension based on the Android platform.By developing a portable screening system based on embedded HDP prediction models,early screening of HDP can be achieved.The hardware equipment uses infrared pulse sensors to achieve non-invasive collection of pulse signals;By filtering,denoising,and feature analysis of collected signals,relevant hemodynamic parameters are obtained,and HDP prediction reports are generated to assess the risk of HDP,providing technical support for early prediction of clinical HDP.This article mainly completes the following aspects:1.Pulse data acquisition and pulse wave waveform processing analysis algorithm.The system uses infrared pulse sensors to achieve non-invasive collection of finger volume pulse waves;After amplification,filtering,A/D conversion,etc.,the pulse signal is transmitted to the mobile terminal through Bluetooth communication.Further software denoising is performed on the pulse signal at the terminal using wavelet threshold denoising algorithm to obtain a more pure pulse signal;For pulse signals that have undergone noise reduction processing,a five point differential threshold algorithm is used to identify pulse wave feature points.By calculating the pulse Bode eigenvalues and referring to the cardiovascular hemodynamic model formula,relevant hemodynamic parameters are calculated.2.Design of HDP prediction model.Preprocess and extract feature vectors from collected data,and statistically analyze relevant feature parameters.Finally,train the dataset using support vector machine algorithm and design an HDP prediction classification model to achieve the prediction of pregnancy induced hypertension.3.Design of an intelligent screening system for pregnancy induced hypertension.Embed the prediction model into the Android system,achieve data interaction between the model end and the client through JSON streaming,and display the prediction results in realtime on the Android interface.The entire system is based on Android smartphones,and the main functions of the designed system include waveform display and analysis,hemodynamic parameter calculation module,HDP intelligent screening report,etc.The waveform display and analysis module respectively achieve the display of pulse wave waveforms and the calculation of related parameters.Hemodynamic parameter calculation module.Analyze the characteristics of the finger volume pulse wave signals collected by pregnant women in real time and calculate the relevant hemodynamic parameters in combination with blood pressure,and store them in My SQL database.HDP intelligent screening report.After inputting relevant hemodynamic parameters into the HDP prediction interface,an HDP risk prediction report is generated to assess the risk of HDP.The intelligent screening system for pregnancy induced hypertension designed in this article is jointly implemented by infrared pulse sensors,HDP prediction models,and mobile apps.The system design provides technical support for clinical early prediction,thereby achieving early intervention,treatment,and reducing the harm of HDP.