Research on Cuff-less Blood Pressure Estimation Algorithm Based on PPG Signal
Aiming at the problem that traditional daily blood pressure detection methods are mostly intermittent detection,which can not comprehensively evaluate the dynamic physiological parameter of blood pressure,this paper conducts to research the cuff-less blood pressure estimation algorithm based on PPG signal.Firstly,32 features in the time and frequency domains are extracted from the PPG signal and its derivatives.Then,the Pearson correlation coefficient is used to evaluate the features,and the heuristic search method is adopted to screen out the optimal feature subset.Finally,the Random Forest model is employed to predict the blood pressure of the subject.The experimental results show that the cuff-less blood pressure estimation algorithm based on PPG signal meets the AAMI standard,while the DBP reaches grade A of the BHS standard,and the SBP reaches grade B of the BHS standard.
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