Auto-mutual information function of the EEG as a measure of depth of anesthesia

Barbara Julitta*, Montserrat Vallverdú, Umberto S.P. Melia, Nadine Tupaika, Mathieu Jospin, Erik W. Jensen, Michel M.R.F. Struys, Hugo E.M. Vereecke, Pere Caminal

*Corresponding author voor dit werk

    OnderzoeksoutputAcademicpeer review

    5 Citaten (Scopus)
    20 Downloads (Pure)

    Samenvatting

    Monitoring the depth of anesthesia (DOA) is necessary in order to decrease the incident of awareness in anesthesia and to prevent delays in the recovery phase. In the last decades a number of noninvasive methods have been proposed for the analysis of the electroencephalogram (EEG) for monitoring DOA. The objective of this work was to apply auto mutual information function (AMIF) to EEGs of patients under anesthesia in order to find variables able to characterize the following 4 states: awake, sedated, anesthetized and burst suppression episodes. The results show that the single and combined AMIF parameters were able to correctly classify the states in the range 72.2%-94.1% and 61.1%-100%, respectively.

    Originele taal-2English
    Titel33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
    UitgeverijIEEE Xplore
    Pagina's2574-2577
    Aantal pagina's4
    ISBN van geprinte versie9781424441211
    DOI's
    StatusPublished - 2011
    Evenement33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
    Duur: 30-aug.-20113-sep.-2011

    Publicatie series

    NaamProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    ISSN van geprinte versie1557-170X

    Conference

    Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
    Land/RegioUnited States
    StadBoston, MA
    Periode30/08/201103/09/2011

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