Title | ||
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Pseudo-Bayesian Model-based Noninvasive Intracranial Pressure Estimation and Tracking. |
Abstract | ||
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Objective: A noninvasive intracranial pressure (ICP) estimation method is proposed that incorporates a model-based approach within a probabilistic framework to mitigate the effects of data and modeling uncertainties. Methods: A first-order model of the cerebral vasculature relates measured arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV) to ICP. The model is driven by the ABP ... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/TBME.2019.2940929 | IEEE Transactions on Biomedical Engineering |
Keywords | DocType | Volume |
Estimation,Microsoft Windows,Biomedical measurement,Biological system modeling,Data models,Blood,Extraterrestrial measurements | Journal | 67 |
Issue | ISSN | Citations |
6 | 0018-9294 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Syed Muhammad Imaduddin | 1 | 0 | 0.34 |
Andrea Fanelli | 2 | 0 | 0.34 |
Frederick Vonberg | 3 | 0 | 0.34 |
Robert C. Tasker | 4 | 0 | 0.68 |
Thomas Heldt | 5 | 2 | 9.54 |