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ShanghaiTech University Knowledge Management System
Ultrasound-based method for individualized estimation of central aortic blood pressure from flow velocity and diameter | |
2022-04 | |
发表期刊 | COMPUTERS IN BIOLOGY AND MEDICINE (IF:7.0[JCR-2023],6.7[5-Year]) |
ISSN | 0010-4825 |
EISSN | 1879-0534 |
卷号 | 143 |
发表状态 | 已发表 |
DOI | 10.1016/j.compbiomed.2022.105254 |
摘要 | Central aortic blood pressure (CABP) is a better predictor for cardiovascular events than brachial blood pressure. However, direct CABP measurement is invasive. The objective of this paper is to develop an ultrasound-based method using individualized Windkessel (WK) models for non-invasive estimation of CABP. Three WK models (with two-, three- and four-element WK, named, WK2, WK3 and WK4, respectively) were created and the model parameters were individualized based on aortic flow velocity and diameter waveforms measured by ultrasound (US). Experimental data were acquired in 42 subjects aged 21–67 years. The CABP estimated by WK models was compared with the reference CABP obtained using a commercial system. The results showed that the overall performance of the WK3 and WK4 models was similar, outperforming the WK2 model. The estimated CABP based on WK3/WK4 model showed good agreement with the reference CABP: the absolute errors of systolic blood pressure (SBP), 2.4 ± 2.1/2.4 ± 2.0 mmHg; diastolic blood pressure (DBP), 1.4 ± 1.1/1.7 ± 1.5 mmHg; mean blood pressure (MBP), 1.3 ± 0.8/1.3 ± 0.8 mmHg; pulse pressure (PP), 3.0 ± 2.3/3.2 ± 2.6 mmHg; the root mean square error (RMSE) of the waveforms, 2.5 ± 1.0/2.6 ± 1.1 mmHg. Therefore, the proposed method can provide a non-invasive CABP estimation during routine cardiac US examination. |
关键词 | Aortic diameter Aortic flow velocity Central aortic blood pressure Ultrasound Windkessel models |
URL | 查看原文 |
收录类别 | EI ; SCIE ; SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2017YFC1307600] ; National Natural Science Foundation of China[61773110] ; Fundamental Research Funds for the Central Universities[N2119008] ; Shenyang Science and Technology Plan Fund[20-201-4-10] ; Member Program of Neusoft Research of Intelligent Healthcare Technology, Co. Ltd.[MCMP062002] |
WOS研究方向 | Life Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology |
WOS类目 | Biology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology |
WOS记录号 | WOS:000788280500004 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
Scopus 记录号 | 2-s2.0-85123712972 |
来源库 | Scopus |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/153584 |
专题 | 信息科学与技术学院_PI研究组_徐林组 |
通讯作者 | Xu, Lisheng |
作者单位 | 1.Northeastern Univ, Coll Med & Biol Informat Engn, Shenyang 110169, Peoples R China 2.Shanghai Tech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China 3.First Hosp China Med Univ, Shenyang 110122, Peoples R China 4.Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110169, Peoples R China 5.Minist Educ, Engn Res Ctr Med Imaging & Intelligent Anal, Shenyang 110169, Peoples R China 6.Neusoft Res Intelligent Healthcare Technol Co Ltd, Shenyang 110169, Peoples R China 7.Macquarie Univ, Fac Med Hlth & Human Sci, Macquarie Med Sch, Sydney, NSW 2109, Australia |
推荐引用方式 GB/T 7714 | Zhou, Shuran,Yao, Yang,Liu, Wenyan,et al. Ultrasound-based method for individualized estimation of central aortic blood pressure from flow velocity and diameter[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2022,143. |
APA | Zhou, Shuran.,Yao, Yang.,Liu, Wenyan.,Yang, Jun.,Wang, Junli.,...&Avolio, Alberto.(2022).Ultrasound-based method for individualized estimation of central aortic blood pressure from flow velocity and diameter.COMPUTERS IN BIOLOGY AND MEDICINE,143. |
MLA | Zhou, Shuran,et al."Ultrasound-based method for individualized estimation of central aortic blood pressure from flow velocity and diameter".COMPUTERS IN BIOLOGY AND MEDICINE 143(2022). |
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