生物医学工程研究2024，Vol.43Issue(2)：100-107,8.DOI:10.19529/j.cnki.1672-6278.2024.02.03
基于手背视频流分析的无接触式SpO2测量方法
A touchless SpO2 estimation method based on the analysis of dorsal hand video streams
摘要
Abstract
To improve the measurement efficiency and accuracy of peripheral blood oxygen saturation(SpO2),a touchless periph-eral SpO2 estimation method was proposed based on the analysis of dorsal hand videos.By improving the Gaussian pyramid and magnifi-cation factor in Eulerian video magnification,the interference of light noise was reduced,and the region of interest(ROI)of the frames in the dorsal hand video was magnified effectively.Then,the red and blue channels of the magnified video frames were extracted and the absorbance ratio method was used to calculate SpO2 values.At last,experimental validation was performed on self-produced dataset under two respiratory states.The experimental results showed that the proposed method achieved an average root mean square error(RMSE)of 0.48%for SpO2 measurements,which exhibited a high degree of consistency when compared to finger-clip pulse oxime-try,and gender was found to have effects on the measurement error of SpO2.It is convenient to embed the proposed method into porta-ble video capturing equipment such as smartphone,and has a good application prospect for the daily monitoring of SpO2.关键词
血氧饱和度/手背视频分析/欧拉视频放大/智能健康监测Key words
Peripheral oxygen saturation/Dorsal hand video analysis/Eulerian video magnification/Smart health monitoring分类
医药卫生引用本文复制引用
白培瑞,轩辕梦玉,傅颖霞,袁梦,刘国忠,刘庆一..基于手背视频流分析的无接触式SpO2测量方法[J].生物医学工程研究,2024,43(2):100-107,8.基金项目
国家自然科学基金资助项目(61471225). （61471225）
