中国光学（中英文）2024，Vol.17Issue(6)：1377-1386,10.DOI:10.37188/CO.2024-0034
头部动态场景下非接触式血氧饱和度测量
Non-contact blood oxygen saturation measurement in dynamic head scenes
摘要
Abstract
In dynamic head scenes,current non-contact blood oxygen saturation measurement methods have low accuracy.To solve this problem,we propose a denoising method based on improved adaptive noise com-plete set empirical mode decomposition and wavelet threshold.This method aims to extract pulse wave sig-nals with a high signal-to-noise ratio.Firstly,in order to solve the problem of false components and mode ali-asing in the early stage of decomposition and reconstruction,white Gaussian noise is added to the decompos-ition process to make it become an improved complete ensemble empirical mode decomposition with adapt-ive noise(ICEEMDAN),to reduce the residual noise in the modal components.Then,ICEEMDAN is used to perform mode decomposition of pulse wave signals of red and blue channels.The db8 wavelet basis function is used to perform 3-stage decomposition and reconstruction on components within the blood oxygen spec-trum range.The reconstructed signals are used for subsequent calculation of blood oxygen value.Finally,the experimental comparison and analysis of the blood oxygen saturation results measured in different dynamic head scenes show that the average error of blood oxygen saturation obtained in different head scenes is 0.73％,which is 1.93％lower than the average error of other algorithms.The denoising method proposed in this paper has good stability in different head scenes and can meet the needs of daily blood oxygen saturation measurement.关键词
非接触式/血氧饱和度/头部运动/小波阈值/分解和重构Key words
non-contact/oxygen saturation/head movement/wavelet threshold/decomposition and recon-struction分类
信息技术与安全科学引用本文复制引用
刘涛,张亚莉..头部动态场景下非接触式血氧饱和度测量[J].中国光学（中英文）,2024,17(6):1377-1386,10.基金项目
国家重点研发计划项目(No.2018YFC0808) （No.2018YFC0808）
陕西省重点研发项目(No.2019SF-260)Supported by National Key Research and Development Program of China(No.2018YFC0808) （No.2019SF-260）
Shaanxi Province Key Research and Development Project(No.2019SF-260) （No.2019SF-260）
