[1]黄益平,陈真诚,梁永波,等.基于脉搏波的呼吸频率计算方法[J].中国医学物理学杂志,2021,38(9):1124-1128.[doi:10.3969/j.issn.1005-202X.2021.09.014]
 HUANG Yiping,CHEN Zhencheng,LIANG Yongbo,et al.Calculation methods of respiratory rate based on PPG[J].Chinese Journal of Medical Physics,2021,38(9):1124-1128.[doi:10.3969/j.issn.1005-202X.2021.09.014]
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基于脉搏波的呼吸频率计算方法()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第9期
页码:
1124-1128
栏目:
医学信号处理与医学仪器
出版日期:
2021-09-26

文章信息/Info

Title:
Calculation methods of respiratory rate based on PPG
文章编号:
1005-202X(2021)09-1124-05
作者:
黄益平1陈真诚1梁永波2朱健铭2
1. 桂林电子科技大学电子工程与自动化学院,广西桂林541004;2. 桂林电子科技大学生命与环境科学学院,广西桂林541004
Author(s):
HUANG Yiping1 CHEN Zhencheng1 LIANG Yongbo2 ZHU Jianming2
1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China 2. School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, China
关键词:
呼吸频率光电容积脉搏波经验模态分解特征提取呼吸波
Keywords:
respiratory rate photoplethysmography empirical mode decomposition feature extraction respiratory
分类号:
R318
DOI:
10.3969/j.issn.1005-202X.2021.09.014
文献标志码:
A
摘要:
为了在可穿戴医疗领域中快速检测出人体的呼吸频率,提出一种基于光电容积脉搏波的呼吸频率计算方法。首 先,通过MIMIC Database数据集获取人体同时段的脉搏波信号与呼吸波信号;其次,通过对脉搏波信号运行经验模态分 解算法,从而获得脉搏波信号的有限个本征模态函数,再选取合适的本征模态函数重构呼吸波信号;最后,通过对重构的 呼吸波信号进行特征提取,计算出呼吸频率。结果表明:经过脉搏波分解得到的呼吸信号与原始呼吸信号的相对相干系 数在0.6以上,呼吸频率也十分接近,准确率高达0.9以上。说明通过光电容积脉搏波信号计算呼吸频率的可行性,这对于 可穿戴医疗领域、无创医疗诊断具有重要意义。
Abstract:
A method of calculating respiratory rate based on photoplethysmography (PPG) is proposed for quickly detecting the human respiratory rate for wearable medical treatment. After that the PPG signals and the respiratory signals of the human body at the same time are selected from MIMIC Database, the PPG signals are processed by empirical mode decomposition algorithm, thereby obtaining a limited number of intrinsic mode functions of the PPG signals, and an appropriate intrinsic mode function is applied to reconstruct the respiratory signals. Finally, respiratory rate is calculated by extracting features from the reconstructed respiratory signal. The results show that the relative coherence coefficient of the respiratory signals obtained by PPG decomposition and the original respiratory signal is above 0.6, and that the reconstructed and original respiratory rates are also very close, with an accuracy rate up to 0.9. Using the PPG signals to calculate respiratory rate is proved to be feasible, which is of great significance to wearable medical treatment and non-invasive medical diagnosis.

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备注/Memo

备注/Memo:
【收稿日期】2021-03-05 【基金项目】国家基金委重大仪器研制项目(61627807);国家自然科学 基金(81873913);广西自然科学基金(2018JJD140034);广 西创新驱动重大项目(2019AA12005);广西重点研发项目 (2020AB39270) 【作者简介】黄益平,硕士,研究方向:生物传感与仪器,E-mail: 103162- 0507@qq.com
更新日期/Last Update: 2021-09-27