摘要
心率和血氧饱和度是反映人体健康状况极其重要的生理指标.近年来,基于成像式光电容积描记技术(imaging photoplethysmography,IPPG)的非接触式心率和血氧饱和度检测方法因为其方便快捷且受约束较少等优点开始逐步成为研究热点.主要工作如下:首先,介绍了非接触式检测方法的背景和研究意义;其次,从目标区域检测和感兴趣区域(region of interest,ROI)选取两个方面总结并点明其研究现状以及未来改进方向;再次,从传统方法、信号处理结合深度学习方法以及端到端方法3个方面对心率和血氧饱和度检测方法进行了总结,并梳理了深度学习方法所使用的数据集以及在各个数据集中所展现的检测效果;最后,指出该领域所存在的亟待解决的问题以及未来的研究方向.
Heart rate and saturation of peripheral capillary oxygenation(SpO2)are very important physiological indicators of human health.In recent years,non-contact heart rate and SpO2 detection methods based on imaging photoplethysmography(IPPG)have gradually become a research focus as they are convenient and freely-applied.The main work is as follows.First,the study introduces the background and research significance of non-contact detection methods.Secondly,two aspects of target region detection and region of interest(ROI)are selected to summarize and clarify the research status and future improvement direction.Thirdly,the detection methods of heart rate and SpO2 are summarized from three aspects:traditional method,signal processing combined with deep learning method and end-to-end method,and the data sets used in deep learning method and the detection effects displayed in each data set are sorted out.Finally,the paper points out the problems that need to be solved and the future research direction in this field.
作者
赵娅
王世铎
贾迪
ZHAO Ya;WANG Shi-Duo;JIA Di(School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,China)
出处
《计算机系统应用》
2024年第10期26-36,共11页
Computer Systems & Applications
基金
黑龙江省自然科学基金(LH2022F006)
湖南省卫生健康委科研课题(202103101352)。
