Accession Number : AD0768343

Title :   Detection of the Sleep Spindle in the Human Electroencephalogram.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING

Personal Author(s) : Martinelli,Dominick Richard

Report Date : JUN 1973

Pagination or Media Count : 51

Abstract : The purpose of this study is to develop and evaluate a computer program for detection of spindles in the human EEG. The computer program combines frequency analysis and cross-correlation to detect a sleep spindle, which is defined as a rhythmic burst of EEG activity of 12-14 Hz with a minimum of 0.5 sec duration. The results are presented in detection accuracies as an event to be counted and as projected accuracies for sleep classification when the spindle detection program is applied to separation of spindle stages and non-spindle stages. Over 678 minutes of nocturnal EEG data were analyzed with a resulting overall spindle detection accuracy of 66% (11% miss error and 23% false detection error). When the spindle detection program is used to separate the sleep data into spindle stages (Stage -2) and non-spindle stages (Stages -0, -1, and REM) an impressive 92% overall accuracy is attained. (Modified author abstract)

Descriptors :   (*ELECTROENCEPHALOGRAPHY, *SLEEP), PSYCHOPHYSIOLOGY, ELECTROPHYSIOLOGY, COMPUTER PROGRAMS, FOURIER ANALYSIS, CORRELATION TECHNIQUES, THESES

Subject Categories : Anatomy and Physiology

Distribution Statement : APPROVED FOR PUBLIC RELEASE