• DocumentCode
    1170017
  • Title

    Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension

  • Author

    Hornero, Roberto ; Aboy, Mateo ; Abásolo, Daniel ; McNames, James ; Goldstein, Brahm

  • Author_Institution
    Dept. of Signal Theor. & Commun., Univ. of Valladolid, Spain
  • Volume
    52
  • Issue
    10
  • fYear
    2005
  • Firstpage
    1671
  • Lastpage
    1680
  • Abstract
    We studied changes in intracranial pressure (ICP) complexity, estimated by the approximate entropy (ApEn) of the ICP signal, as subjects progressed from a state of normal ICP (<20--25 mmHg) to acutely elevated ICP (an ICP "spike" defined as ICP >25 mmHg for ≤ 5 min). We hypothesized that the measures of intracranial pressure (ICP) complexity and irregularity would decrease during acute elevations in ICP. To test this hypothesis we studied ICP spikes in pediatric subjects with severe traumatic brain injury (TBI). We conclude that decreased complexity of ICP coincides with episodes of intracranial hypertension (ICH) in TBI. This suggests that the complex regulatory mechanisms that govern intracranial pressure are disrupted during acute rises in ICP. Furthermore, we carried out a series of experiments where ApEn was used to analyze synthetic signals of different characteristics with the objective of gaining a better understanding of ApEn itself, especially its interpretation in biomedical signal analysis.
  • Keywords
    blood pressure measurement; brain; entropy; paediatrics; acute intracranial hypertension; approximate entropy; biomedical signal analysis; intracranial hypertension; intracranial pressure complexity; pediatric subjects; severe traumatic brain injury; Biomedical measurements; Biomedical signal processing; Brain injuries; Cranial pressure; Entropy; Hypertension; Laboratories; Probability; Signal analysis; Time series analysis; Approximate entropy; complex analysis; intracranial hypertension; intracranial pressure irregularity; sample entropy; traumatic brain injury (TBI); Adolescent; Algorithms; Artificial Intelligence; Brain Injuries; Child; Child, Preschool; Computer Simulation; Diagnosis, Computer-Assisted; Entropy; Female; Humans; Intracranial Hypertension; Intracranial Pressure; Male; Models, Biological; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2005.855722
  • Filename
    1510851