scholarly journals Numerical Modeling of the Intracranial Pressure using Windkessel Models

2017 ◽  
Vol 8 (1) ◽  
pp. 9-25 ◽  
Author(s):  
Simon Garnotel ◽  
Stéphanie Salmon ◽  
Olivier Balédent
Keyword(s):  
Numerical Modeling ◽  
Intracranial Pressure

scholarly journals Human ophthalmic artery as a sensor for non-invasive intracranial pressure monitoring: numerical modeling and in vivo pilot study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Paulius Lucinskas ◽  
Mantas Deimantavicius ◽  
Laimonas Bartusis ◽  
Rolandas Zakelis ◽  
Edgaras Misiulis ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Clinical Study ◽  
Intracranial Pressure ◽  
Pressure Sensor ◽  
Ophthalmic Artery ◽  
Open Angle Glaucoma ◽  
Icp Monitoring ◽  
Paired Data ◽  
Non Invasive ◽  
Data Points

AbstractIntracranial pressure (ICP) monitoring is important in managing neurosurgical, neurological, and ophthalmological patients with open-angle glaucoma. Non-invasive two-depth transcranial Doppler (TCD) technique is used in a novel method for ICP snapshot measurement that has been previously investigated prospectively, and the results showed clinically acceptable accuracy and precision. The aim of this study was to investigate possibility of using the ophthalmic artery (OA) as a pressure sensor for continuous ICP monitoring. First, numerical modeling was done to investigate the possibility, and then a pilot clinical study was conducted to compare two-depth TCD-based non-invasive ICP monitoring data with readings from an invasive Codman ICP microsensor from patients with severe traumatic brain injury. The numerical modeling showed that the systematic error of non-invasive ICP monitoring was < 1.0 mmHg after eliminating the intraorbital and blood pressure gradient. In a clinical study, a total of 1928 paired data points were collected, and the extreme data points of measured differences between invasive and non-invasive ICP were − 3.94 and 4.68 mmHg (95% CI − 2.55 to 2.72). The total mean and SD were 0.086 ± 1.34 mmHg, and the correlation coefficient was 0.94. The results show that the OA can be used as a linear natural pressure sensor and that it could potentially be possible to monitor the ICP for up to 1 h without recalibration.

The relation between intracranial pressure and outcome in non-accidental head injury

1999 ◽  
Vol 41 (4) ◽  
pp. 220-225 ◽  
Author(s):  
Karen M Barlow ◽  
Robert A Minns
Keyword(s):  
Head Injury ◽  
Intracranial Pressure

Prediction of LPCVD silicon film microstructure from local operating conditions using numerical modeling

1999 ◽  
Vol 09 (PR8) ◽  
pp. Pr8-181-Pr8-188 ◽  
Author(s):  
A. Dollet ◽  
B. Caussat ◽  
J. P. Couderc
Keyword(s):  
Numerical Modeling ◽  
Silicon Film ◽  
Operating Conditions ◽  
Film Microstructure

Lipofundin®-Induced Intracranial Pressure Rise after Severe Traumatic Brain Injury - A Case Report

2004 ◽  
Vol 65 (02) ◽  
pp. 81-83 ◽  
Author(s):  
S Wolf ◽  
M Krammer ◽  
H Trost ◽  
C Lumenta
Keyword(s):  
Traumatic Brain Injury ◽  
Case Report ◽  
Brain Injury ◽  
Intracranial Pressure ◽  
Severe Traumatic Brain Injury ◽  
Pressure Rise

On the assessment of ventricular reconfiguration after intracranial pressure relief. What information is encoded in size and form?

2004 ◽  
Vol 31 (S 1) ◽  
Author(s):  
C Preul ◽  
M Tittgemeyer ◽  
D Lindner ◽  
C Trantakis ◽  
J Meixensberger ◽  
...  
Keyword(s):  
Intracranial Pressure ◽  
Pressure Relief

RISPERIDONE AND INCREASED INTRACRANIAL PRESSURE-LIKE SYNDROME IN CHILDREN AND ADOLESCENTS

2006 ◽  
Vol 37 (S 1) ◽  
Author(s):  
O Back-Bennett ◽  
N Zelnik
Keyword(s):  
Intracranial Pressure ◽  
Children And Adolescents ◽  
Increased Intracranial Pressure

Investigation of Morphosedimentary Processes on a Schematic Louisiana Barrier Island Using Process-Based Numerical Modeling

2007 ◽  
Author(s):  
T. Campbell ◽  
B. de Sonneville ◽  
L. Benedet ◽  
D. J. W. Walstra ◽  
C. W. Finkl
Keyword(s):  
Numerical Modeling ◽  
Barrier Island

Numerical Modeling of Hurricane-Induced Extreme Wave Heights in Pensacola Bay

2013 ◽  
Author(s):  
Wenrui Huang ◽  
Yuan He ◽  
Shuguang Liu
Keyword(s):  
Numerical Modeling ◽  
Extreme Wave ◽  
Wave Heights
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