Estimation of the Anesthetic Depth Using Wavelet Analysis of Electroencephalogram

Abstract

This paper investigates the use of wavelet decomposition of the electroencephalogram (EEG) to assess the hypnotic state of anesthetized patients undergoing surgery. A single case study and a comparison with an existing monitor of hypnosis are presented. The proposed technique can differentiate clearly between the anesthetized state and the awake "baseline" state.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410624

Entities

People

  • Craig R. Ries
  • Ernest Puil
  • Guy A. Dumont
  • Stephane Bibian
  • Tatjana Zikov

Organizations

  • University of British Columbia

Tags

DTIC Thesaurus Topics

  • Algorithms
  • British Columbia
  • Case Studies
  • Coefficients
  • Computational Complexity
  • Data Analysis
  • Data Sets
  • Decomposition
  • Electroencephalography
  • Engineering
  • Feature Extraction
  • Fourier Analysis
  • Frequency
  • Frequency Bands
  • Probability
  • Probability Density Functions
  • Standards

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Cardiovascular Physiology
  • Image Processing and Computer Vision.