Accession Number : ADA298105

Title :   Quantitative EEG Analysis of Sleep Chronophysiology: A Comparison Between Root Mean Square (RMS) Estimation and Fast Fourier Transformation (FFT).

Descriptive Note : Interim rept. 1 Oct 90-30 Sep 93,

Corporate Author : NAVAL HEALTH RESEARCH CENTER SAN DIEGO CA

Personal Author(s) : Assmus, J. D. ; Gallen, C. ; Kelly, T. L. ; Brown, S. ; Naitoh, P.

PDF Url : ADA298105

Report Date : 06 JUL 1993

Pagination or Media Count : 17

Abstract : There still is no standardized methodology for the application of quantitative electroencephalographic (QEEG) techniques in sleep research Hasten (1985). Computer programs for data collection and analysis vary from one sleep laboratory to the next, sometimes making between-laboratory comparisons a difficult process Karacan (1978). Hoffman (1979) states that the development of new laboratory procedures (i.e. automated QEEG analysis) should be accompanied by some careful, formal discussion of the procedures. The logical "next step" should then involve a formal comparison and evaluation of the results these procedures yield. However to date, few sleep researchers have conducted direct empirical or statistical evaluations between readily available QEEG methodologies Pigeau (1981). During the past 30 years of sleep research, specific efforts have been directed towards developing automated methodologies to quantify nocturnal EEG data Agnew (1967); Armitage (1989); Armitage (1992a); Armitage (1992b); Church (1975); Dumermuth (1983): Hoffmann (1984); Johnson (1972); Kapfhammer (1992): Ktonas (1987); Ktonas (1981); Larsen (1992); Terstegge (1993); Uchida (1992a); Uchida (1992b). Much of this work has focused on formulating mathematical models that reliably characterize the two most salient features of sleep EEG (i.e., frequency and amplitude). These various models may describe sleep EEG either in the time-domain (i.e., amplitude fluctuations as a function of time), or in the frequency-domain (i.e. amplitude fluctuations as a function of frequency).

Descriptors :   *STRESS(PHYSIOLOGY), *SLEEP DEPRIVATION, *ELECTROENCEPHALOGRAPHY, TEST AND EVALUATION, COMPUTER PROGRAMS, FOURIER TRANSFORMATION, METHODOLOGY, QUANTITATIVE ANALYSIS, AUTOMATION, STATISTICS, VARIATIONS, DATA ACQUISITION, STANDARDIZATION, LABORATORY PROCEDURES, MEDICAL RESEARCH, AMPLITUDE.

Subject Categories : Stress Physiology

Distribution Statement : APPROVED FOR PUBLIC RELEASE