The Sensitivity of Real-Time, Telemetered Electroencephalographic Data and Actual In-Flight Performance Measurement to Fatigue in a Sleep-Deprivation Paradigm

Abstract

The present investigation was conducted to determine whether the typical EEG changes recorded from subjects in earlier laboratory sleep-deprivation studies would occur under actual in-flight conditions while aviators are piloting an aircraft. In addition, this study was conducted to examine the extent to which fatigue-related deteriorations in flight performance were associated with increased slow-wave BEG activity. Ten UH-60 pilots were kept awake for approximately 26 hours so that data could be collected during both non-sleep-deprived and sleep-deprived conditions. BEG data and performance data were collected in the laboratory and while piloting a specially instrumented UH-6o aircraft. Data collected in the laboratory were based on a computerized cognitive task (the Multi-attribute Task Battery or MATE) and the data collected in the aircraft were from computerized monitoring of flight skills during the performance of a standardized flight profile. Self-ratings of mood and alertness were collected only in the laboratory setting via the Profile of Mood States (POMS) and the Visual Analog Scales (VAS)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2000
Accession Number
ADA386457

Entities

People

  • B. Erickson
  • E. Labrada
  • John A. Caldwell
  • K. Kubitz
  • Katja A. Hall

Organizations

  • United States Army Aeromedical Research Lab

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Central Nervous System
  • Data Analysis
  • Data Storage Systems
  • Economic Forecasting
  • Electroencephalography
  • Flight
  • Flight Maneuvers
  • Helicopters
  • Measurement
  • Medical Personnel
  • Nervous System
  • Psychology
  • Psychophysiology
  • Reaction Time
  • Rotary Wing Aircraft
  • Situational Awareness

Readers

  • Aerospace Test and Evaluation
  • Circadian Sleep-Wake Regulation and Chronobiology
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.