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Spectral analysis of intracranial pressure signals recorded during infusion studies in patients with hydrocephalus

García, M, Poza, J, Hornero, R, Santamarta, D, Barrio, P and Abásolo, D (2013) Spectral analysis of intracranial pressure signals recorded during infusion studies in patients with hydrocephalus Medical Engineering and Physics, 35 (10). pp. 1490-1498.

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Hydrocephalus includes a number of disorders characterised by clinical symptoms, enlarged ventricles (observable using neuroimaging techniques) and altered cerebrospinal fluid (CSF) dynamics. Infusion tests are one of the available procedures to study CSF circulation in patients with clinical and radiological features of hydrocephalus. In them, intracranial pressure (ICP) is deliberately raised and CSF circulation disorders evaluated through measurements of the resulting ICP. In this study, we analysed seventy-seven ICP signals recorded during infusion tests using four spectral-based parameters: median frequency (MF) and relative power (RP) in three frequency bands. These measures provide a novel perspective for the analysis of ICP signals in the frequency domain. Each signal was divided into four artefact-free epochs (corresponding to the basal, early infusion, plateau and recovery phases of the infusion study). The four spectral parameters were calculated for each epoch. We analysed differences between epochs of the infusion test and correlations between these epochs and patient data. Statistically significant differences (p<1.7×10, Bonferroni-corrected Wilcoxon signed-rank tests) were found between epochs of the infusion test using MF and RP. Furthermore, some spectral parameters (MF in the basal phase, RP for the first frequency band and in the early infusion phase, RP for the second frequency band and in all phases of the infusion study and RP in the third frequency band and in the basal phase) revealed significant correlations (p<0.01) between epochs of the infusion test and signal amplitude in the basal and plateau phases. Our results suggest that spectral analysis of ICP signals could be useful for understanding CSF dynamics in hydrocephalus. © 2013 IPEM.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
García, M
Poza, J
Hornero, R
Santamarta, D
Barrio, P
Abásolo, D
Date : October 2013
DOI : 10.1016/j.medengphy.2013.04.002
Additional Information : NOTICE: this is the author’s version of a work that was accepted for publication in Medical Engineering and Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Medical Engineering and Physics, 35(10), October 2013, DOI 10.1016/j.medengphy.2013.04.002
Depositing User : Symplectic Elements
Date Deposited : 23 Sep 2013 10:29
Last Modified : 31 Oct 2017 15:13

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