Name
Title | ||
|---|---|---|
Noninvasive estimation of aortic pressure waveform based on simplified Kalman filter and dual peripheral artery pressure waveforms |
Abstract | ||
|---|---|---|
•The article proposes a novel SKF approach for reconstructing the central aortic pressure waveform from dual peripheral artery pressure waveforms.•The main aim is to establish a cross-relation with the peripheral pressure measured noninvasively, and to use SKF's iterative optimization approach to derive an adaptive transfer function.•The adaptive transfer function provides a patient-specific method to meeting the demand for a clinically useful way to reliably estimate central aortic pressure from non-invasive peripheral pressure measurements.•The performance of the proposed method is superior to that of other state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.cmpb.2022.106760 | Computer Methods and Programs in Biomedicine |
Keywords | DocType | Volume |
Aortic pressure,Peripheral artery pressure,Simplified Kalman filter,Canonical correlation analysis,Signal-to-noise ratio,Noise-tolerance | Journal | 219 |
ISSN | Citations | PageRank |
0169-2607 | 0 | 0.34 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenyan Liu | 1 | 0 | 0.34 |
| Shuo Du | 2 | 0 | 0.34 |
| Shuran Zhou | 3 | 0 | 2.03 |
| Tiemin Mei | 4 | 0 | 0.34 |
| Yuelan Zhang | 5 | 0 | 0.34 |
| Guozhe Sun | 6 | 0 | 0.34 |
| Song Shuang | 7 | 20 | 9.10 |
| Lisheng Xu | 8 | 178 | 39.09 |
| Yu-Dong Yao | 9 | 1781 | 119.83 |
| Stephen E Greenwald | 10 | 0 | 1.35 |