生物医学工程研究2026，Vol.45Issue(3)：190-196,7.DOI:10.19529/j.cnki.1672-6278.2026.03.02
集合经验模态分解结合小波阈值的呼吸波重构系统设计
Design of respiratory wave reconstruction system based on ensemble empirical mode decomposition combined with wavelet threshold
摘要
Abstract
To solve the problem of low accuracy when extracting respiratory rate(RR)from photoplethysmography(PPG)signals,we developed an embedded RR detection system.The system included pulse wave acquisition module,software control system,upper computer interface design,WeChat small program design and ensemble empirical mode decomposition combined with wavelet threshold(EEMD-WT)respiratory wave reconstruction algorithm design to realize real-time monitoring of patients' RR.Compared with the Min-dray ePM10 system,this system could obtain the PPG and reconstructed respiratory signals of the measured person under the condition of ensuring high accuracy and low power consumption,and accurately calculate the RR and display.The experimental results showed that the root mean squared error(RMSE)of RR reconstruction was 0.2147.This study can provide an effective solution for reconstruc-ting PPG respiratory waves.关键词
呼吸波重构/呼吸频率/集合经验模态分解/小波阈值/脉搏检测系统/光电容积脉搏波Key words
Respiratory wave reconstruction/Respiratory rate/Ensemble empirical mode decomposition/Wavelet threshold/Pulse detection system/Photoplethymography分类
医药卫生引用本文复制引用
胡寒冬,谢立鸿,卢景辉,潘嘉婷,温金坪,朱健铭..集合经验模态分解结合小波阈值的呼吸波重构系统设计[J].生物医学工程研究,2026,45(3):190-196,7.基金项目
2023年度广西高校中青年教师科研基础能力提升项目(2023KY0208) （2023KY0208）
广西自然科学基金面上项目(2025GXNSFAA069227) （2025GXNSFAA069227）
国家自然科学基金项目(62263008). （62263008）
