现代信息科技2024，Vol.8Issue(10)：138-142,5.DOI:10.19850/j.cnki.2096-4706.2024.10.028
基于PPG信号的无袖带式血压估计算法研究
Research on Cuff-less Blood Pressure Estimation Algorithm Based on PPG Signal
摘要
Abstract
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.关键词
高血压/PPG/随机森林Key words
hypertension/PPG/Random Forest分类
信息技术与安全科学引用本文复制引用
黎钟德,秦彩杰,李勇..基于PPG信号的无袖带式血压估计算法研究[J].现代信息科技,2024,8(10):138-142,5.基金项目
国家级大学生创新创业训练项目(CA220251) （CA220251）
福建省中青年教师教育科研项目(JAT210422) （JAT210422）
三明学院科学研究发展基金(B202103) （B202103）
