AUTOMATIC ANALYSIS OF ELECTROENCEPHALOGRAMS
Date
1972-07
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ORCID
Type
Degree Level
Masters
Abstract
Many things about a subject's mental condition may be discovered from his EEG. Recent years has seen an upsurge in automatic methods for analyzing such physiological signals. This thesis describes various characteristics of an EEG and the procedures for its acquisition. Several methods of analysis which have been used by other researchers are presented. A different approach to the problem using record segments chosen according to their stationarity is described. A combination of the period and peak amplitude methods (PAP) is used to quantify differences between a group of normal EEGs and a group of schizophrenic EEGs. The similarity between EEGs and narrow band random noise, as pertaining to the PAP analysis method, is also discussed.
Description
Keywords
Citation
Degree
Master of Science (M.Sc.)
Department
Electrical Engineering