Accession Number : AD0777243
Title : Detection of the K-Complex in Human EEG Sleep Records.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING
Personal Author(s) : Marlin,Paul R.
Report Date : MAR 1974
Pagination or Media Count : 94
Abstract : The paper presents the development of a computer algorithm for the detection of K-complexes in the normal human sleep electroencephalogram (EEG). The detection scheme applies time and frequency domain pattern recognition techniques to a single channel (central area recording site) of digitized EEG data to identify waveforms as K-complexes. The detection of K-complexes resulted in an accuracy of 62.5% (7.3% miss error and 30.2% false detections). The primary source of false detections was the identification of Delta wave activity as K-complexes. The detection scheme is also used for scoring sleep EEG data as K-complex (Stage 2) or non-K-complex (Stages 1 and REM) sleep stages. Results of the sleep scoring effort provide an accuracy of 94% when compared to the usually scored EEG. (Author)
Descriptors : *Electroencephalography, Waveforms, Sleep, Records, Computers, Algorithms, Detection, Pattern recognition, Theses
Subject Categories : Psychology
Anatomy and Physiology
Distribution Statement : APPROVED FOR PUBLIC RELEASE