Document Type
Thesis
Date of Award
5-31-1990
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
Andrew Ulrich Meyer
Abstract
Time series signal processing techniques (Fourier based) were applied to study the effects of biofeedback on the cardiovascular and neuromuscular system.
A medical instrumentattion system was developed to monitor ECG, EEG and EMG biopotential signals and temperature.
Data from two experiments were first analyzed. These data were from two normal male subjects who engaged in relaxation techniques (Transcendental Meditation & Imagery). If we assumed that for both subjects relaxation produced a decrease of the sympathetic activity then that resulted in a decrease of the heart rate (ECG) and an increase in skin temperature. Spectral analysis of the EEG signal showed large amount of alpha activity (8 - 12 Hz), while the EMG spectrum showed a shift to lower frequencies (6 - 9 Hz) than those found before relaxation.
The second set of data involved diagnostic EEG studies perfomed on two patients at the New Jersey Neurological Institute. We found that EEG spectrum analysis showed a peak at 8 Hz during relaxation. Theta and beta waves were present during deep breathing and light blinking for both patients.
Recommended Citation
Gikas, Andreas T., "Analysis of the effects of biofeedback on cardiovascular and neuromuscular system" (1990). Theses. 2679.
https://digitalcommons.njit.edu/theses/2679
