A Comparison of Sleep Scored from Electroencephalography to Sleep Scored by Wrist Actigraphy

Abstract

During military operations, it as been found that soldiers often are required to work for long periods o time without rest. In order to assist commanders in determining how much rest soldiers receive, various methods of monitoring activity have been used. One unobtrusive method is to use wrist activity monitors (WAMs) to determine how long soldiers are required to work with little or no sleep. This study compared data from traditionally scored sleep using electroencephalographs (EEGs) to data from WAMs to determine the ability of WAMs to measure sleep. Based on this limited comparison study, it appears that the WAM is a good instrument to use to estimate sleep time when an EEG is not possible. The percent agreement between WAM sleep time and EEG sleep time is very high, with an average of almost 89 percent. The error tended to be in the direction of overestimation of sleep time by the WAM. Also, the current method of scoring (using a set cutoff of counts) is a suitable method. However, an overestimation of sleep most likely will occur when this method is used. Therefore, whenever actigraphs are used, a conservative interpretation of the data is to discuss 'rest time' instead of 'sleep time.' ln addition, the quality of sleep as determined by normal EEG sleep staging cannot be assessed by the WAM Sleep, WAM, Wrist monitor, Activity.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1993
Accession Number
ADA273739

Entities

People

  • Jo Lynn Caldwell
  • John A. Caldwell Jr.

Organizations

  • United States Army Aeromedical Research Lab

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Amnesia
  • Army Personnel
  • Biomedical Research
  • Computers
  • Data Analysis
  • Data Storage Systems
  • Health Services
  • Medical Personnel
  • Military Operations
  • Military Research
  • Neurobehavioral Manifestations
  • Side Effects

Readers

  • Circadian Sleep-Wake Regulation and Chronobiology
  • Regression Analysis.