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EEG

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Data Interpretation in Anesthesia

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Abstract

Raw (i.e., unprocessed) EEG can be challenging to interpret in real time in the OR. Even if the anesthesiologist acquires training to characterize various normal and pathologic waveforms, the amount of data generated in a multichannel EEG recording can be too overwhelming to continuously monitor in addition to the conduct of anesthesia care. However, EEG is directly influenced by many pharmacologic and physiologic variables that are controlled by the anesthesiologist. Therefore a working knowledge of this modality is necessary for proper communication between the neurophysiologist and the surgeon.

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References

  1. Purdon PL, Sampson A, Pavone KJ, Brown EN. Clinical electroencephalography for anesthesiologists: part I: background and basic signatures. Anesthesiology. 2015;123(4):937–60. doi:10.1097/ALN.0000000000000841.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Pilge S, Jordan D, Kreuzer M, Kochs EF, Schneider G. Burst suppression-MAC and burst suppression-CP50 as measures of cerebral effects of anaesthetics. Br J Anaesth. 2014;112(6):1067–74. doi:10.1093/bja/aeu016.

    Article  CAS  PubMed  Google Scholar 

  3. Purdon PL, Pavone KJ, Akeju O, et al. The ageing brain: age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia. Hemmings HC, ed. Br J Anaesth. 2015;115(Suppl 1):i46–57. doi:10.1093/bja/aev213.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Myles PS, Daly D, Silvers A, Cairo S. Prediction of neurological outcome using bispectral index monitoring in patients with severe ischemic-hypoxic brain injury undergoing emergency surgery. Anesthesiology. 2009;110(5):1106–15. doi:10.1097/ALN.0b013e31819daef6.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Anesthesiology, The University of Oklahoma Health Sciences Center, 700 NE 13th Street, Suite 200, Oklahoma City, OK, 73104, USA

    Mehmet S. Ozcan MD, FCCP

Authors
  1. Mehmet S. Ozcan MD, FCCP
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Correspondence to Mehmet S. Ozcan MD, FCCP .

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Editors and Affiliations

  1. Alliance Health Midwest, Midwest City, Oklahoma, USA

    Tilak D. Raj

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© 2017 Springer International Publishing AG

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Ozcan, M.S. (2017). EEG. In: Raj, T. (eds) Data Interpretation in Anesthesia. Springer, Cham. https://doi.org/10.1007/978-3-319-55862-2_11

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  • DOI: https://doi.org/10.1007/978-3-319-55862-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55861-5

  • Online ISBN: 978-3-319-55862-2

  • eBook Packages: MedicineMedicine (R0)

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