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The Use of Computer-Generated Numbers in Interpreting the EEG

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Part of the book series: Developments in Critical Care Medicine and Anesthesiology ((DCCA,volume 5))

Abstract

The EEG holds great promise as a monitor in the operating room, particularly for estimating the depth of anesthesia and detecting the presence of cerebral ischemia. This promise has not yet been realized, however. The main obstacle to the realization of these goals has been the raw EEG itself. The tracing is difficult to interpret without considerable training. Only a few seconds of raw EEG are available for inspection at any one time, making it difficult to follow trends. The standard written EEG record during a case is voluminous, being generated at the rate of up to 300–600 pages per hour. For these and other reasons, additional personnel are usually required if one wishes to record the conventional EEG in the operating room.

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References

  1. Maynard D, Prior P, Scott DF: Device for continuous monitoring of cerebral activity in resuscitated patients. Brit Med J 4: 545.

    Google Scholar 

  2. Prior P: Monitoring Cerebral function. Amsterdam, Elsevier/North Holland, 1979.

    Google Scholar 

  3. Grundy BL, Sanderson AC, Webster MW: Hemiparesis following carotid endarterectomy: Comparison of monitoring methods, Anesthesiology 55: 462–466, 1981.

    Article  PubMed  CAS  Google Scholar 

  4. Grundy BL, Webster MW, Nelson P: Brain monitoring during carotid endarterectomy. Anesthesiology 55: A129 (abstr.), 1981.

    Article  Google Scholar 

  5. Lopes da Silva FH, Smith N Ty, Zwart A, et al: Spectral analysis of the EEG during halothane anesthesia. Input-output relations. Electroenceph Clin Neurophysiol 33: 311–319, 1972.

    Article  PubMed  CAS  Google Scholar 

  6. Klein FF: A waveform analyzer applied to the human EEG. IEEE Trans Biomed Eng BME-23: 246–252, 1976.

    Article  CAS  Google Scholar 

  7. Klein FF, Davis DA: The use of the time domain analyzed EEG in conjunction with cardiovascular parameters for monitoring anesthetic levels. IEEE T-BME 28: 36–40, 1981.

    Article  CAS  Google Scholar 

  8. Levy W, Shapiro HM, Maruschak G, et al: Automated EEG processing for intraoperative monitoring. Anesthesiology 53: 223–236, 1980.

    Article  PubMed  CAS  Google Scholar 

  9. Harmel MH, Klein FF, Davis DA: The EEMG — a practical index of cortical activity and muscular relaxation. Acta Anaesth Scand 70 (Suppl):97–102, 1978.

    CAS  Google Scholar 

  10. Smith N Ty, Silver H, Sanford TJ, et al:The EEG during high-dose fentanyl, sufentanil, or morphine-oxygen anesthesia. Anesth and Analg, 1983, submitted.

    Google Scholar 

  11. Smith N Ty, Westover CJ, Jr, Silver H, et al: Induction with thiopental or alfentanil: EEG effects. Anesthesiology, 1983, submitted.

    Google Scholar 

  12. Smith N Ty, Baker AB: The human EEG during thiopental or althesin induction. Anesthesiology 51: S6, 1979.

    Article  Google Scholar 

  13. Eger EI, II, Smith, N Ty, Cullen DJ, et al: A comparison of the cardiovascular effects of halothane, fluroxene, ether, and cyclopropane in man: A resume. Anesthesiology 34: 25–41, 1971.

    Article  PubMed  CAS  Google Scholar 

  14. Stockard JJ, & Bickford RG: The neurophysiology of anaesthesia. In Gordon (Ed): A basis and practice of neuroanaesthesia. Elsevier/North Holland, 1981, p43.

    Google Scholar 

  15. Spehr W, Gotze P: Computerized EEG and prediction of psychopathology after open heart surgery. In: Lechner H, Aranibar A (Eds) EEG and clinical neurophysiology. Amsterdam, Excerpta Medica, 1980, 603–610.

    Google Scholar 

  16. Rampil IJ, Sasse FJ, Smith NT, Hoff BH, Flemming DC: Spectral Edge Frequency — A new correlate of anesthetic depth. Anesthesiology 53 (suppl):s12, (abstr.), 1980.

    Article  Google Scholar 

  17. Rampil IJ, Holzer JA, Quest DO, Rosenbaum SH, Correll JW: Prognostic value of computerized EEG analysis during carotid endarterectomy. Anesth Analg (Cleve) 62: 186–192, 1983.

    CAS  Google Scholar 

  18. Epp RL, Negin M, Lee KJ: Performance specification of a microcomputer-based compressed spectral array system. IEEE Frontiers of Computers in Medicine, 1982, 32–39.

    Google Scholar 

  19. Hudson RJ, Stanski DR, Meathe E, Saidman LJ: Does acute tolerance to thiopental exist? Anesthesiology 57(3): A501 (abstr.), 1982.

    Article  Google Scholar 

  20. Stanski DR, Hudson RJ, Meathe E, Saidman LJ: Estimation of brain sensitivity to thiopental with the EEC Anesthesiology 57(3): A502 (abstr.), 1982.

    Article  Google Scholar 

  21. van Huffelen AC, Poortvliet DCJ, van der Wulp CJM, Magnus O: Quantitative EEG in cerebral ischemia — A) Parameters for the detection of abnormalities in “normal” EEGs in patients with acute unilateral c cerebral ischemia. In: Lechner H, Aranibar A (Eds) EEG and clinical neurophysiology. Amsterdam, Excerpta Medica, 1980, pp 125–130.

    Google Scholar 

  22. Fink BR: Electromyography in general anesthesia. Br J Anaesth 33: 555, 1961.

    Article  PubMed  CAS  Google Scholar 

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© 1983 Martinus Nijhoff Publishers, Boston

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Smith, N.T., Rampil, I.J. (1983). The Use of Computer-Generated Numbers in Interpreting the EEG. In: Prakash, O. (eds) Computing in Anesthesia and Intensive Care. Developments in Critical Care Medicine and Anesthesiology, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6747-2_18

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  • DOI: https://doi.org/10.1007/978-94-009-6747-2_18

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-6749-6

  • Online ISBN: 978-94-009-6747-2

  • eBook Packages: Springer Book Archive

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