Characterization of Sleep Using Bispectral Analysis

Abstract

This study investigated the relationship between a Bispectral Index (BIS), as measured by Aspect Medical Systems' A-1000 EEG monitor, and clinical sleep staging based on the Rechtschaffen and Kales (RK) scoring procedure, Eleven subjects - with no known sleep, respiratory, or cardiovascular disease - were tested using full polysomnography and respiratory monitoring with simultaneous recording of BIS, in an accredited sleep laboratory, in Ft, Worth, Texas. An ordinal scale was assigned to RK-based sleep stages: Wake = 1, REM = 2, Stage 1 = 3, Stage 2 = 4, Stage 3 = 5 and Stage 4 = 6. By performing linear regression between average BIS values and assigned scales, it was found that average BIS values were highly correlated with non-rapid eye movement (NREM) sleep stages and wakefulness, both within (average R2 +/- one standard deviation 0.9376 +/- 0.0264) and across subjects (R2=0.896), However, there was a considerable amount of inter-subject variability about the average BIS value for each sleep stage. The mean BIS values for each sleep stage across all subjects were: Wake: 87.057 +/- 12.967 (97.7 - 17.4); REM: 78.081 +/- 10.690 (95.2 - 27.5); Stage 1: 79.452 +/- 13.337 (97.7 - 25.5); Stage 2: 66.771 +/- 15.493 (97.6-24.4); Stage 3: 41.277 +/- 9.280 (87.6 - 16.9); and Stage 4: 33.832 +/- 8.021(72.3 - 13.1), Across all subjects, only the mean BIS values for REM and Stage 1 were not significantly (P < 0.05) different from each other, These results indicate that BIS alone may not be adequate for automated sleep staging.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412067

Entities

People

  • Cameron Mcpherson
  • Dzu Dao
  • Edgar Lucas
  • John Burk
  • Khosrow Behbehani

Organizations

  • University of Texas Southwestern Medical Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Engineering
  • Cardiovascular Diseases
  • Data Acquisition
  • Data Science
  • Databases
  • Diseases And Disorders
  • Electrodes
  • Electroencephalography
  • Engineering
  • Eye Movements
  • Information Science
  • Linear Regression Analysis
  • Medical Personnel
  • Regression Analysis
  • Standards
  • Statistical Analysis

Fields of Study

  • Psychology

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Polymer Science and Technology
  • Regression Analysis.