Intracranial pressure wave morphological classification: automated analysis and clinical validation.

Journal: Acta neurochirurgica
Published Date: Jan 8, 2016

Abstract

BACKGROUND: Recently, different software has been developed to automatically analyze multiple intracranial pressure (ICP) parameters, but the suggested methods are frequently complex and have no clinical correlation. The objective of this study was to assess the clinical value of a new morphological classification of the cerebrospinal fluid pulse pressure waveform (CSFPPW), comparing it to the elastance index (EI) and CSF-outflow resistance (Rout), and to test the efficacy of an automatic ICP analysis.

Authors

  • Carlotta Ginevra Nucci
    Institute of Neurosurgery, Catholic University School of Medicine, Largo A. Gemelli 8, Rome, Italy. carlottaginevra@gmail.com.
  • Pasquale De Bonis
    Institute of Neurosurgery, Catholic University School of Medicine, Largo A. Gemelli 8, Rome, Italy.
  • Annunziato Mangiola
    Institute of Neurosurgery, Catholic University School of Medicine, Largo A. Gemelli 8, Rome, Italy.
  • Pietro Santini
    Institute of Neurosurgery, Catholic University School of Medicine, Largo A. Gemelli 8, Rome, Italy.
  • Marco Sciandrone
    Department of Information Engineering, University of Florence, Via di Santa Marta 3, Florence, Italy.
  • Arnaldo Risi
    Institute of System Analysis and Informatics, National Research Council, Viale Manzoni 30, Rome, Italy.
  • Carmelo Anile
    Institute of Neurosurgery, Catholic University School of Medicine, Largo A. Gemelli 8, Rome, Italy.

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