Date of Award

Fall 1994

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Stanley S. Reisman

Second Advisor

Peter Engler

Third Advisor

Thomas W. Findley

Abstract

The joint time-frequency signal representation has received considerable attention as a powerful tool for analyzing biological signals. It combine time-domain and frequency-domain analyses to yield a potentially more revealing picture of the temporal localization of a signal's spectral components. In this research we have developed algorithm which implement time-frequency signal analysis techniques on a computer system. Its primary function is to produce a variety of time-frequency representations and plots from the time series. Numerous generated signals were used to justify our computer algorithm.

Variety of time-frequency distribution were utilized to expand the concept of spectral analysis of heart rate variability, to describe changes in vagal tone and sympatho-vagal balance as a function of time. As a result the assessment of the autonomic nervous system during rapid changes in heart rate was made.

The smoothed Pseudo Wigner distribution was applied to electromyographic(EMG) signal during muscle fatigue. The mesh plot of the time-frequency analysis showed, the median frequency of the EMG decline during muscle fatigue.

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