Accession Number:

ADP006078

Title:

The Application of Non-Stationary Data Analysis Techniques in the Identification of Changes in the Electroencephalogram Associated with the Onset of Drowsiness,

Descriptive Note:

Corporate Author:

ROYAL AIR FORCE FARNBOROUGH (UNITED KINGDOM) INST OF AVIATION MEDICINE

Report Date:

1988-02-01

Pagination or Media Count:

5.0

Abstract:

The electrical activity of the brain was analysed using techniques to detect the occurrence of non-stationarities associated with transitional states between alert wakefulness and sleep. Eight minutes of resting eyes closed data were used in the analysis. A visual inspection was carried out to classify the record into epochs of varying lengths according to the different states of arousal. Three states were defined, alert wakefulness, drowsy sleep and a transitional state. Non-stationary data analysis techniques were used to identify these changes automatically. The techniques used were autoregressive modelling, in which the prediction error was used as a criterion to detect change, and evolutionary power spectrum analysis, where a spectral ratio was defined to detect differences between short epochs of the signal. In addition, the autocorrelation function was calculated for a limited number of lags, and changes in the function with reference to previous epochs used to identify the onset of change. js

Subject Categories:

  • Psychology
  • Medicine and Medical Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE