南方科技大学知识苑(SUSTech KC): Personalized Modeling of Blood Pressure with Photoplethysmography: an Error-Feedback Incremental Support Vector Regression Model

题名	Personalized Modeling of Blood Pressure with Photoplethysmography: an Error-Feedback Incremental Support Vector Regression Model
作者	Dingliang Wang 1; Xuezhi Yang 2; Jun Wu 1; Wenjin Wang3
发表日期	2023
DOI	10.1109/JIOT.2023.3290557
发表期刊	IEEE Internet of Things Journal 影响因子和分区
ISSN	2372-2541
卷号	PP 期号:99页码:1-1
关键词	photoplethysmography (PPG) blood pressure (BP) incremental learning support vector regression (SVR) EFISVR personalization
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
EI入藏号	20232714336306
EI主题词	Blood ; Errors ; Feature extraction ; Internet of things ; Learning systems ; Mercury compounds ; Photoplethysmography ; Regression analysis
EI分类号	Biological Materials and Tissue Engineering:461.2 ; Medicine and Pharmacology:461.6 ; Biology:461.9 ; Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723 ; Mathematical Statistics:922.2
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10168193
引用统计	被引频次[WOS]：6
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/549255
专题	南方科技大学
作者单位	1.Department of Electronic Science and Technology, Anhui University, Hefei, China 2.School of Computer and Information, Hefei University of Technology, Hefei, China 3.Southern University of Science and Technology, Shenzhen, China
推荐引用方式 GB/T 7714	Dingliang Wang,Xuezhi Yang,Jun Wu,et al. Personalized Modeling of Blood Pressure with Photoplethysmography: an Error-Feedback Incremental Support Vector Regression Model[J]. IEEE Internet of Things Journal,2023,PP(99):1-1.
APA	Dingliang Wang,Xuezhi Yang,Jun Wu,&Wenjin Wang.(2023).Personalized Modeling of Blood Pressure with Photoplethysmography: an Error-Feedback Incremental Support Vector Regression Model.IEEE Internet of Things Journal,PP(99),1-1.
MLA	Dingliang Wang,et al."Personalized Modeling of Blood Pressure with Photoplethysmography: an Error-Feedback Incremental Support Vector Regression Model".IEEE Internet of Things Journal PP.99(2023):1-1.