Date of Award
12-22-2016
Document Type
Thesis
Degree Name
Master of Science in Computer Engineering
Department
Department of Electrical and Computer Engineering
First Advisor
Brett J. Borghetti, PhD.
Abstract
In this thesis, the artefactual effects of the small muscle movements were investigated. Upper frequency bands (30 Hz) of the EEG signal were extracted in order to investigate the artefactual effects of the small muscle movements. When the contamination level is high, the detection of the small muscle artifact can be made with the 92.2% accuracy. If these artifacts are really small such as a single finger movement, the detection accuracy decreases to 64%. But, the detection accuracy increases to 72% after removing the eye blink artifacts. The results of the classification support our hypothesis about the artefactual effects of the small muscle movements.
AFIT Designator
AFIT-ENG-MS-16-D-051
DTIC Accession Number
AD1032001
Recommended Citation
Yanteri, Erhan E., "Analysis of Small Muscle Movement Effects on EEG Signals" (2016). Theses and Dissertations. 493.
https://scholar.afit.edu/etd/493