• DocumentCode
    1740679
  • Title

    Symbolic dynamics applied to EEG signal for monitoring anaesthetic depth during propofol infusion

  • Author

    Jensen, Erik Weber ; Guillen, Pablo ; Litvan, Hector ; Vallverdú, M. ; Jugo, D. ; Caminal, Pere

  • Author_Institution
    Dept. ESAII, Univ. Politecnica de Catalunya, Barcelona, Spain
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1320
  • Abstract
    The extraction of a consistent and reliable measure online and close to real time to assess the hypnotic level during anesthesia is a continuous challenge to the anaesthetist. Haemodynamic parameters such as heart rate and blood pressure are not, at least with the traditional single parameter versus time presentation, adequate for ensuring an optimal level of anesthesia, especially when using neuromuscular blocking agents. The objective of this study was to evaluate the symbolic dynamics applied to the EEG signal while awake and while asleep. Data was required from 10 patients scheduled for elective cardiac surgery. All patients were anesthetized with propofol and no other drugs were administered during the study period. The results showed significant difference between awake and anaesthetized values, hence concluding that the complexity measure might serve as an indicator of anaesthetic depth
  • Keywords
    electroencephalography; medical signal processing; surgery; symbol manipulation; time series; EEG signal; anaesthetic depth monitoring; cardiac surgery; complexity measure; hypnotic level; neuromuscular blocking agents; propofol infusion; sliding window; symbol sequence; symbolic dynamics; time series; Anesthesia; Anesthetic drugs; Biomedical monitoring; Blood flow; Blood pressure; Electroencephalography; Frequency; Heart rate; Neuromuscular; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.897980
  • Filename
    897980