Date of Award

Spring 1988

Document Type

Dissertation

Degree Name

Doctor of Engineering Science in Electrical Engineering

Department

Electrical Engineering

First Advisor

Stanley S. Reisman

Second Advisor

Walter N. Tapp

Third Advisor

Andrew Ulrich Meyer

Fourth Advisor

Peter Engler

Abstract

Complex demodulation, accompanied by the techniques of interpolation, detrending and zero-phase-shift lowpass filtering were used to examine the effect of both divisions of the autonomic nervous system (sympathetic and parasympathetic) on heart rate by analyzing the heart rate variability signal from dogs under two different classical conditionings: CS+ and CS-, which cause different dynamic pattern changes in the autonomic nervous system to regulate the heart rate.

Unlike power spectral analysis, complex demodulation gives results in the time domain and shows the variation of amplitude and phase over time at a given frequency. The variation of phase indicates the frequency deviation from the center frequency while the variation of amplitude indicates the intensity of the frequency components in the signal around the center frequency.

The complex demodulation results from the study of dogs which are classically conditioned clearly show the activities of both sections of the autonomic nervous system in regulating heart rate, and this allows us to understand more about the relationship between the heart rate and the autonomic nervous system in both conditioned and nonconditioned animals.

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