An EEG Predictor of Performance Decrement in a Vigilance Task.

Abstract

An attempt was made to discover measures of EEG that could predict performance decrement on long-term monitoring tasks in subjects who had not been previously sleep deprived. Ten subjects took part in a study in which alpha numeric symbols were discriminated on 1100 trials during continuous 3-hr watches. Each subject completed the 3-hr watch on each of 3 consecutive days. The reaction times for all trials on Day 2 and Day 3 were divided into the 10 percent fastest, 10 percent slowest, and the errors of omission (EO) for each session. Brain activity at the vertex (C2) was derived from the one-second period preceding each trial. Ensemble spectral analysis of the EEG was completed for each subject to yield intensity at integral values of frequency from 1 to 12 Hz. It was found that the ratio of slow activity to intermediate 7-12 Hz) EEG activity at the vertex can differentiate EO trials from fast and slow responses and is reliable over at least 3 days. The technique could be used to monitor errors of omission in operatioal settings.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1982
Accession Number
ADA116960

Entities

People

  • David J. Hord

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biological Sciences
  • Computers
  • Data Analysis
  • Data Reduction
  • Frequency
  • Frequency Bands
  • Intensity
  • Intermediate Frequencies
  • Magnetic Tape
  • Monitoring
  • Naval Training
  • Physiology
  • Psychophysiology
  • Reaction Time
  • Spectra
  • Tape Recorders
  • Tapes

Fields of Study

  • Psychology

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Circadian Sleep-Wake Regulation and Chronobiology
  • Regression Analysis.