The Information Analysis And Processing Research Of HRV Based On Cloud Model

Heart rate variability(HRV)refers to the variation of RR interval in electrocardiogram(ECG),which contains abundant pathological information and is an important factor to reflect cardiac activity and neural regulation.Recent studies have shown that heart rate variability can be used to reflect body pressure.With the change of pressure,sympathetic nerve and parasympathetic nerve regulate together,and this regulation also causes the change of heart rate variability signal.Time domain,frequency domain and nonlinear analysis are commonly used in heart rate variability analysis.In order to realize the study of pressure,a hierarchical model is proposed to quantify the pressure value.Meanwhile,a Heart rate variability analysis platform based on cloud pattern is proposed.With the study of cloud models,Combining cloud platform services of SaaS,realize the analysis of Heart rate variability signals.The main work of this is as follows:1.The definition of cloud pattern is studied.A Heart rate variability information analysis platform based on SaaS cloud model is proposed.The cloud pattern provides the analysis and management of Heart rate variability information,which enable tenants to focus more on system design and avoid infrastructure maintenance,etc.The software of server is deployed on the cloud platform,which receive ECG signals from smart terminals.The R wave detection is realized by using improved differential threshold method.Traditional analysis and pressure model based on Heart rate variability can be realized on the cloud,which can reach the monitoring of human health information.2.Analyze the cause of pressure and design experimental scheme.The Stress is generated through extreme exercise.Heart rate variability signal of human body is acquired when people are in rest and exercise conditions.According to the change rate of parameters and statistics,the reasonable parameters are selected to build a three-layer model of pressure.3.A pressure quantization model based on combined weight is proposed.First,the time domain,frequency domain and nonlinear parameters of the HRV signal are analyzed with the change of pressure.Sensitive parameters related to pressure are determined.Then the three-layer structure model is constructed.In order to realize the qualitative analysis,the subjective weight of each parameter is calculated by the improved analytic hierarchy process,and the objective weight is obtained by the entropy weight method.Taking both subjective and objective into account,the reasonable combination weight can be obtained.Finally,the method of fuzzy comprehensive evaluation is used to realize the quantitative analysis of pressure.The verification shows that the method can accurately realize the quantitative analysis of pressure.This project has realized the analysis and research of heart rate variability based on cloud model.The basic analysis of HRV signals is carried out.At the same time,a pressure quantization model based on combination weight is set up and transplanted on the cloud.The result shows that the platform can realize the analysis the information of heart rate variability and accurately quantify the pressure.