Date of Award

Spring 1992

Document Type

Thesis - Restricted

Degree Name

Master of Science (MS)


Biomedical Engineering

First Advisor

Ackmann, James J.

Second Advisor

Ropella, Kristina

Third Advisor

Myklebust, Joel


The electroencephalogram has served as an important tool in clinical diagnosis of patient physiology. The EEG has also proved to be important prognostically, specifically in the case of coma victims [1 ,8, 15,23,24,33,34,35,36,39]. Although various methods of coma grading exist [23,24,35,36], standardization throughout the clinical community does not. This is most likely because of the subjective analysis made by visual inspection of chart recorded data. With the advent of computers, automated spectral analysis became popular. Initially, however, the ability to achieve frequency information through the use of spectral analysis via the FFT, was limited because of computer power and cost. Therefore, time domain methods were developed to mimic the visual techniques employed by electroencephalographers enabling spectral content to be determined by computationally simpler means. This study investigates the characteristics of these time domain techniques when applied to normal subjects and coma patients. The results of this investigation are directly compared to the spectral information arrived at through the use of the FFT.



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