Name
Title | ||
|---|---|---|
Nonlinear analysis of cerebral hemodynamic and intracranial pressure signals for characterization of autoregulation. |
Abstract | ||
|---|---|---|
The objective of this study was to determine whether or not the underlying physiological systems that generates spontaneous arterial blood pressure (ABP), cerebral blood flow velocity (CBFV), and intracranial pressure signals could be adequately approximated as a linear stochastic process. Furthermore, a new measure (C) capable of capturing the degree of nonlinear dependency between two ABP and CB... |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TBME.2005.862546 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Signal analysis,Hemodynamics,Cranial pressure,Blood flow,Signal generators,Arterial blood pressure,Signal processing,Linear approximation,Stochastic processes,Fluid flow measurement | Autoregulation,Computer science,Anesthesia,Artificial intelligence,Blood pressure,Surrogate data,Hyperventilation,Hemodynamics,Computer vision,Internal medicine,Hypocapnia,Cardiology,Intracranial pressure,Cerebral blood flow | Journal |
Volume | Issue | ISSN |
53 | 2 | 0018-9294 |
Citations | PageRank | References |
7 | 1.56 | 2 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Hu | 1 | 16 | 4.65 |
| V. Nenov | 2 | 8 | 2.38 |
| Thomas C Glenn | 3 | 13 | 2.44 |
| Luzius A Steiner | 4 | 7 | 1.56 |
| Marek Czosnyka | 5 | 22 | 7.37 |
| Marvin Bergsneider | 6 | 9 | 2.40 |
| Neil Martin | 7 | 7 | 1.56 |