Effects of Sampling Frequency and Data Length on the Central Aortic Waveform Reconstruction

被引：0
|
作者：
Xu L.-S. [1 ]
Jiang Z.-H. [1 ]
Yao Y. [1 ]
Liu W.-Y. [1 ]
机构：
[1] Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2019年 / 40卷 / 05期
关键词：
ARX model; Central aortic pressure wave; Data length; Fourier transform; Sampling frequency; Transfer function;
D O I：
10.12068/j.issn.1005-3026.2019.05.004
中图分类号：
学科分类号：
摘要：
Non-invasive CAP(central aortic pressure)reconstruction is mostly based on the auto regressive eXogenous(ARX)model or Fourier transform in transfer function method, without considering the factors such as sampling frequency and data length. Based on the ARX model and the Fourier transform, the error of reconstruction CAP was analyzed for studing the effects of sampling frequency and data length on the CAP. The results show that when sampling frequency is 100 Hz and data length is greater than 3 s, CAP can be better reconstructed by ARX model(RMSE: (306.6±80.0)Pa; FIT: 89%). The algorithm based on the Fourier transform is insensitive to sampling frequency. When data length is set to 6 s, the reconstructed CAP has a better performance(RMSE: (493.3±320.0)Pa, FIT: 84%). © 2019, Editorial Department of Journal of Northeastern University. All right reserved.
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页码：625 / 629
页数：4
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