AN ANALOG AND DIGITAL AUTOCORRELATION ANALYSIS OF A NORMAL EEG FOR VARYING ANALYTIC LENGTHS,

Abstract

Autocorrelation analysis, which has been used in statistical communication theory for the study of randomly varying processes, can be applied to electroencephalography-the study of brain waves. The statistical properties retained by an auto correlation analysis of the EEG are summarized in the power density spectrum. The amplitude and frequency characteristics of this spectrum have been found to change with analytic length, denoting an inherent EEG statistical instability which limits the resolving power of the autocor relation function. There are indications that this instability is a function of component power and frequency, and this information may be applicable to future investigations. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1963
Accession Number
AD0419604

Entities

People

  • Charles D. Van

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Amplitude
  • Autocorrelation
  • Brain Waves
  • Correlation Analysis
  • Data Science
  • Electroencephalography
  • Frequency
  • Information Science
  • Instability
  • Mathematics
  • Spectra

Readers

  • Approximation Theory.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Theoretical Analysis.