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Improving the accuracy and robustness of carotid-femoral pulse wave velocity measurement using a simplified tube-load model | |
2022-03-25 | |
发表期刊 | SCIENTIFIC REPORTS |
EISSN | 2045-2322 |
卷号 | 12期号:1 |
发表状态 | 已发表 |
DOI | 10.1038/s41598-022-09256-z |
摘要 | Arterial stiffness, as measured by pulse wave velocity, for the early non-invasive screening of cardiovascular disease is becoming ever more widely used and is an independent prognostic indicator for a variety of pathologies including arteriosclerosis. Carotid-femoral pulse wave velocity (cfPWV) is regarded as the gold standard for aortic stiffness. Existing algorithms for cfPWV estimation have been shown to have good repeatability and accuracy, however, further assessment is needed, especially when signal quality is compromised. We propose a method for calculating cfPWV based on a simplified tube-load model, which allows for the propagation and reflection of the pulse wave. In-vivo cfPWV measurements from 57 subjects and numerical cfPWV data based on a one-dimensional model were used to assess the method and its performance was compared to three other existing approaches (waveform matching, intersecting tangent, and cross-correlation). The cfPWV calculated using the simplified tube-load model had better repeatability than the other methods (Intra-group Correlation Coefficient, ICC = 0.985). The model was also more accurate than other methods (deviation, 0.13 ms) and was more robust when dealing with noisy signals. We conclude that the determination of cfPWV based on the proposed model can accurately and robustly evaluate arterial stiffness. |
URL | 查看原文 |
收录类别 | SCIE |
语种 | 英语 |
Scopus 记录号 | 2-s2.0-85127264044 |
来源库 | Scopus |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/169264 |
专题 | 信息科学与技术学院_PI研究组_徐林组 |
通讯作者 | Xu, Lisheng; Han, Hongguang |
作者单位 | 1.College of Medicine and Biological Information Engineering,Northeastern University,Shenyang,China 2.Engineering Research Center of Medical Imaging and Intelligent Analysis,Ministry of Education,Shenyang,China 3.Neusoft Research of Intelligent Healthcare Technology,Co. Ltd.,Shenyang,China 4.School of Computer Science and Engineering,Northeastern University,Shenyang,China 5.School of Information Science and Technology,ShanghaiTech University,Shanghai,China 6.General Hospital of Northern Theater Command,Shenyang,China 7.Department of Bioengineering,Department of Anesthesiology and Perioperative Medicine,University of Pittsburgh,Pittsburgh,United States 8.Blizard Institute,Barts and The London School of Medicine and Dentistry,Queen Mary University of London,London,United Kingdom |
推荐引用方式 GB/T 7714 | Xu, Lisheng,Zhou, Shuran,Wang, Lu,et al. Improving the accuracy and robustness of carotid-femoral pulse wave velocity measurement using a simplified tube-load model[J]. SCIENTIFIC REPORTS,2022,12(1). |
APA | Xu, Lisheng.,Zhou, Shuran.,Wang, Lu.,Yao, Yang.,Hao, Liling.,...&Greenwald, Stephen E..(2022).Improving the accuracy and robustness of carotid-femoral pulse wave velocity measurement using a simplified tube-load model.SCIENTIFIC REPORTS,12(1). |
MLA | Xu, Lisheng,et al."Improving the accuracy and robustness of carotid-femoral pulse wave velocity measurement using a simplified tube-load model".SCIENTIFIC REPORTS 12.1(2022). |
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