1996
DOI: 10.1007/bf02199704
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Computer simulation of cererrovascular circulation: Assessment of intracranial hemodynamics during induction of anesthesia

Abstract: The presented simulation allows comparison of various drug administration schedules to control intracranial pressure and preserve cerebral blood flow during induction of anesthesia. The model developed can be extended to analyze more complex intraoperative events by adding new submodels.

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Cited by 13 publications
(5 citation statements)
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“…The windkessel model can be represented by a circuit consisting of two resistors R S and RP (mmHg ⅐ s/cm 3 ) and a capacitor CS (cm 3 /mmHg) (see Fig. 2).…”
Section: Modelingmentioning
confidence: 99%
“…The windkessel model can be represented by a circuit consisting of two resistors R S and RP (mmHg ⅐ s/cm 3 ) and a capacitor CS (cm 3 /mmHg) (see Fig. 2).…”
Section: Modelingmentioning
confidence: 99%
“…Sudden changes in haemodynamic parameters during the induction of anaesthesia are particularly important in patients with additional cardiovascular and CNS diseases. In patients with the latter, impaired autoregulation of the cerebral circulation is often observed, and CPP is found to passively "follow" the changes to MAP [42,43]. To prevent such adverse effects of laryngoscopy and intubation, many authors suggest local anaesthesia of the larynx with lignocaine and used the additional dose of a hypnotic immediately before endotracheal intubation or to apply of esmolol [30,34,37].…”
Section: Discussionmentioning
confidence: 99%
“…Simultaneous monitoring of these variables along with intracranial pressure (ICP) and arterial blood pressure (ABP) can provide valuable physiologic perspectives in various intracranial pathologies. Through the analysis of TCD waveform, many authors have attempted to investigate the relationship between the cerebral blood flow (CBF) and cerebrospinal fluid (CSF) dynamics, proposing several mathematical and hydrodynamic models derived from signals as input, with the most common of them being ABP, ICP, and FV (Hoffmann & Zierski, ; Bekker, Wolk, Turndorf, Kristol, & Ritter, ).…”
Section: Basic Methodsmentioning
confidence: 99%