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Advances in Cuffless Continuous Blood Pressure Monitoring Technology Based on PPG Signals

文献类型：期刊论文

作者Qin, Caijie3,4,6; Wang, Xiaohua5; Xu, Guangjun1; Ma, Xibo2,3,4
刊名BIOMED RESEARCH INTERNATIONAL
出版日期2022-10-01
卷号2022页码:16
ISSN号2314-6133
DOI10.1155/2022/8094351
通讯作者Ma, Xibo(xibo.ma@ia.ac.cn)
英文摘要Objective. To review the progress of research on photoplethysmography- (PPG-) based cuffless continuous blood pressure monitoring technologies and prospect the challenges that need to be addressed in the future. Methods. Using Web of Science and PubMed as search engines, the literature on cuffless continuous blood pressure studies using PPG signals in the recent five years were searched. Results. Based on the retrieved literature, this paper describes the available open datasets, commonly used signal preprocessing methods, and model evaluation criteria. Early researches employed multisite PPG signals to calculate pulse wave velocity or time and predicted blood pressure by a simple linear equation. Later, extensive researches were dedicated to mine the features of PPG signals related to blood pressure and regressed blood pressure by machine learning models. Most recently, many researches have emerged to experiment with complex deep learning models for blood pressure prediction with the raw PPG signal as input. Conclusion. This paper summarized the methods in the retrieved literature, provided insight into the artificial intelligence algorithms employed in the literature, and concluded with a discussion of the challenges and opportunities for the development of cuffless continuous blood pressure monitoring technologies.
WOS关键词PHOTOPLETHYSMOGRAPHY ; WAVE ; PREDICTION ; ACCURACY
资助项目National Key Research Programs of China[2016YFA0100900] ; National Key Research Programs of China[2016YFA0100902] ; Chinese National Natural Science Foundation[82090051] ; Chinese National Natural Science Foundation[81871442] ; Youth Innovation Promotion Association CAS[Y201930] ; Educational Research Project for Young and Middle-aged Teachers in Fujian Province[JT180513] ; Scientific Research and Development Fund project of Sanming University[B201824] ; Fujian Key Lab of Agriculture IOT Application ; IOT Application Engineering Research Center of Fujian Province Colleges and Universities ; Digital Fujian Research Institute for Industrial Energy Big Data ; Laboratory for the Analysis and Application of Industry Big Data
WOS研究方向Biotechnology & Applied Microbiology ; Research & Experimental Medicine
语种英语
出版者HINDAWI LTD
WOS记录号WOS:000868606200002
资助机构National Key Research Programs of China ; Chinese National Natural Science Foundation ; Youth Innovation Promotion Association CAS ; Educational Research Project for Young and Middle-aged Teachers in Fujian Province ; Scientific Research and Development Fund project of Sanming University ; Fujian Key Lab of Agriculture IOT Application ; IOT Application Engineering Research Center of Fujian Province Colleges and Universities ; Digital Fujian Research Institute for Industrial Energy Big Data ; Laboratory for the Analysis and Application of Industry Big Data
源URL[http://ir.ia.ac.cn/handle/173211/50302]  
专题自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心
通讯作者Ma, Xibo
作者单位1.Agr Bank China, Data Ctr, Beijing 100049, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Automation, CBSR, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Automation, NLPR, Beijing, Peoples R China
5.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Dept Nephrol, Beijing, Peoples R China
6.Sanming Univ, Inst Informat Engn, Sanming, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Caijie,Wang, Xiaohua,Xu, Guangjun,et al. Advances in Cuffless Continuous Blood Pressure Monitoring Technology Based on PPG Signals[J]. BIOMED RESEARCH INTERNATIONAL,2022,2022:16.
APA Qin, Caijie,Wang, Xiaohua,Xu, Guangjun,&Ma, Xibo.(2022).Advances in Cuffless Continuous Blood Pressure Monitoring Technology Based on PPG Signals.BIOMED RESEARCH INTERNATIONAL,2022,16.
MLA Qin, Caijie,et al."Advances in Cuffless Continuous Blood Pressure Monitoring Technology Based on PPG Signals".BIOMED RESEARCH INTERNATIONAL 2022(2022):16.

入库方式： OAI收割

来源：自动化研究所

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