| Title: | Automated EEG spectrum analysis system |
| Author: | |
| Document Type: | Thesis |
| Department: | Biomedical Engineering Committee |
| Degree: | Master of Science |
| Major: | Biomedical Engineering |
| Advisory Committee: |
Reisman, Stanley S.
Kristol, David S.
Meola, Robert R.
|
| Thesis Date: | 1985 |
| Keywords: |
Electroencephalography--Data processing
|
| Availability: | Unrestricted |
| Abstract: |
A computer system has been designed to acquire EEG data from monkeys and to perform the spectral and statistical analysis. The system is capable of processing two channels simultaneously, acquire 64 Kbytes of EEG data for each channel on floppy disk, do the spectrums and averages of the spectrums, and calculate the histogram amplitudes of 13 frequency bands in a range of 0-71.1 Hz. The software gives the user a lot of choices with respect to data acquisition and processing. The relative spectral power differences between "no-drug" and "drug" experiments give information about the drug effects on the central nervous system. The present system is easier to control with respect to previous similar systems because it is capable of performing the experiments in an automated manner without any human intervention. Another quality of the system is the simplicity and small space needed. Being based on software, the system is very flexible and easy to extend.
One of the features of the new system is new programs for the statistical
comparisons can be done automatically. Another feature is related to
the extension of the system to process 15 channels simultaneously. The results of this system can be successfully used in classifying
new drugs. |
| Complete Thesis: | njit-etd1985-006
(243 pages ~ 9,615 KB pdf)
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Created June 21, 2005
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