Date of Award

Fall 1985

Document Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Electrical and Computer Engineering

Abstract

The growing clinical use of serially recorded evoked potentials necessitates the development of efficient computer algorithms to process and characterize the evoked potential waveforms. This thesis deals with the design of such an algorithm, specifically, the design and implementation of a feature extraction algorithm. Chapter 1 introduces evoked potentials and their use. Chapter 2 deals with signal processing techniques applied to the waveforms and describes the extraction design and process. Chapter 3 presents the specific statistical analysis used in this study to characterize the waveforms. The results are presented in Chapter 4 and summarized in Chapter 5.

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