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Author Andersson, Kennet ♦ Manchester, Ian R. ♦ Malm, Jan ♦ Eklund, Anders
Source SpringerLink
Content type Text
Publisher Springer-Verlag
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health
Subject Keyword Normal pressure hydrocephalus ♦ System identification ♦ Outflow resistance ♦ Outflow conductance ♦ Intracranial pressure ♦ Infusion test ♦ Computer Applications ♦ Imaging ♦ Radiology ♦ Biomedical Engineering ♦ Human Physiology
Abstract Hydrocephalus is related to a disturbed cerebrospinal fluid (CSF) system. For diagnosis, lumbar infusion test are performed to estimate outflow conductance, C $_{out}$, and pressure volume index, PVI, of the CSF system. Infusion patterns and analysis methods used in current clinical practice are not optimized. Minimizing the investigation time with sufficient accuracy is of major clinical relevance. The aim of this study was to propose and experimentally evaluate a new method, the oscillating pressure infusion (OPI). The non-linear model of the CSF system was transformed into a linear time invariant system. Using an oscillating pressure pattern and linear system identification methods, C $_{out}$ and PVI with confidence intervals, were estimated in real-time. Forty-two OPI and constant pressure infusion (CPI) investigations were performed on an experimental CSF system, designed with PVI = 25.5 ml and variable C $_{out}$. The ARX model robustly estimated C $_{out}$ (mean C $_{out,OPI}$ − C $_{out,CPI}$ = 0.08 μl/(s kPa), n = 42, P = 0.68). The Box–Jenkins model proved most reliable for PVI (23.7 ± 2.0 ml, n = 42). The OPI method, with its oscillating pressure pattern and new parameter estimation methods, efficiently estimated C $_{out}$ and PVI as well as their confidence intervals in real-time. The results from this experimental study show potential for the OPI method and supports further evaluation in a clinical setting.
ISSN 01400118
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-08-06
Publisher Place Berlin, Heidelberg
e-ISSN 17410444
Journal Medical and Biological Engineering and Computing
Volume Number 48
Issue Number 11
Page Count 9
Starting Page 1123
Ending Page 1131

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Source: SpringerLink