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Título
Continuous wavelet transform in the study of the time-scale properties of intracranial pressure in hydrocephalus
Autor(es)
Materia
Continuous wavelet transform
Hydrocephalus
Infusion test
Intracranial pressure
Clasificación UNESCO
3205.07 Neurología
Fecha de publicación
2018
Editor
Royal Society Publishing
Citación
García, M., Poza, J., Santamarta, D., Romero-Oraa, R., & Hornero, R. (2018). Continuous wavelet transform in the study of the time-scale properties of intracranial pressure in hydrocephalus. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2126), 20170251. https://doi.org/10.1098/rsta.2017.0251
Resumen
[EN]Normal pressure hydrocephalus (NPH) encompasses a heterogeneous group of disorders generally characterized by clinical symptoms, ventriculomegaly and anomalous cerebrospinal fluid (CSF) dynamics. Lumbar infusion tests (ITs) are frequently performed in the preoperatory evaluation of patients who show NPH features. The analysis of intracranial pressure (ICP) signals recorded during ITs could be useful to better understand the pathophysiology underlying NPH and to assist treatment decisions. In this study, 131 ICP signals recorded during ITs were analysed using two continuous wavelet transform (CWT)- derived parameters: Jensen divergence (JD) and spectral flux (SF). These parameters were studied in two frequency bands, associated with different components of the signal: B1(0.150.3 Hz), related to respiratory blood pressure oscillations; and B2 (0.672.5 Hz), related to ICP pulse waves. Statistically significant differences (p1.7010-3, Bonferronicorrected Wilcoxon signed-rank tests) in pairwise comparisons between phases of ITs were found using the mean and standard deviation of JD and SF. These differences were mainly found in B2, where a lower irregularity and variability, together with less prominent time-frequency fluctuations, were found in the hypertension phase of ITs. Our results suggest that wavelet analysis could be useful for understanding CSF dynamics in NPH. This article is part of the theme issue 'Redundancy rules: the continuous wavelet transform comes of age'.
URI
ISSN
1364-503X
DOI
10.1098/rsta.2017.0251
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