MS (Master of Science)
Date of Award
Committee Chair or Co-Chairs
Michele Joyner, Robert B. Gardner, Debra J. Knisley
A consensus model combines statistical methods with signal processing to create a better picture of the family of related signals. In this thesis, we will consider 32 signals produced by a single electroencephalogram (EEG) recording session. The consensus model will be produced by using the S-Transform of the individual signals and then normalized to unit energy. A bootstrapping process is used to produce a consensus spectrum. This leads to the consensus model via the inverse S-Transform of the consensus spectrum. The method will be applied to both a control and experimental EEG to show how the results can be used in clinical settings to analyze experimental outcomes.
Thesis - unrestricted
Young, Andrew Coady, "A Consensus Model for Electroencephalogram Data Via the S-Transform" (2012). Electronic Theses and Dissertations. Paper 1424. https://dc.etsu.edu/etd/1424
Copyright by the authors.