摘要
阐述一种从光电容积脉搏波中提取呼吸信号并计算呼吸频率的方法。对PPG信号进行经验模态分解算法,选取合适的本征模态函数作为呼吸波重构的分量,对比分析重构的呼吸信号与原始呼吸信号。
This paper describes a method for extracting respiratory signals from photocapacitive pulse waves and calculating respiratory frequency.Empirical Mode Decomposition(EMD)algorithm is applied to PPG signals,which selects appropriate intrinsic mode functions as components for respiratory wave reconstruction.It compares and analyzes the reconstructed respiratory signal with the original respiratory signal.
作者
黄杰
苏云天
宋鑫
陈真诚
HUANG Jie;SU Yuntian;SONG Xin;CHEN Zhencheng(School of Electronic Engineering and Automation,Guilin University of Electronic Science and Technology,Guangxi 541004,China)
出处
《电子技术（上海）》
2024年第2期56-57,共2页
Electronic Technology
基金
国家基金委区域创新联合基金重点项目(U22A2092)
广西科技厅创新驱动发展专项项目(GuikeAA19254003)。
关键词
光电容积脉搏波
经验模态分解
本征模态函数
呼吸信号
photoelectric capacitance pulse wave
empirical mode decomposition
intrinsic mode function
respiratory signal
