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Automatic Identification of Peak V in Brainstem Auditory Evoked Potentials

  • A. R. Møller
Conference paper

Summary

The need for automatic interpretation of evoked potentials for use in intraoperative monitoring and for monitoring of critically ill patients in intensive care units is discussed. A computer algorithm for automatic identification and continuous tracking of peak V of brainstem auditory evoked potentials (BAEP) is described.

Keywords

Root Mean Square Automatic Identification Auditory Brainstem Response Peak Versus Qualified Personnel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Elberling C (1985) Techniques for auditory brainstem response quality estimation, detection and averaging. In: Morocutti C, Rizzo PA (eds) Evoked Potentials. Neurophysiological and Clinical Aspects. Elsevier, Amsterdam, pp 145–156Google Scholar
  2. Hoke M, Ross B, Wickesberg R, Luetkenhoener B (1984) Weighted averaging — Theory and application to electrical response audiometry. Electroenceph Clin Neurophysiol 57: 484–489PubMedCrossRefGoogle Scholar
  3. Møller AR (1988a) Use of zero-phase digital filters to enhance brainstem auditory evoked potentials (BAEPs). Electroenceph Clin Neurophysiol 71: 226–232PubMedCrossRefGoogle Scholar
  4. Møller AR (1988b) Evoked Potentials in Intraoperative Monitoring. Williams & Wilkins, BaltimoreGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • A. R. Møller
    • 1
  1. 1.Department of Neurological SurgeryUniversity of Pittsburgh School of MedicinePittsburghUSA

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