A Consensus Model for Electroencephalogram Data Via the S-Transform

<p>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.</p>

Name thesis:degree_name

MS (Master of Science)

Level thesis:degree_level

Thesis - unrestricted

Discipline thesis:degree_discipline

Mathematical Sciences

Year dc:date.issued

2012

Author dc:creator

• Young, Andrew Coady

• Consensus Model
• Homological Family
• Electroencephalography
• S-Transform
• Signal Processing
• Analytical, Diagnostic and Therapeutic Techniques and Equipment
• Investigative Techniques
• Medicine and Health Sciences

Statement dc:rights

• Copyright by the authors.

Repository record dc:identifier

https://dc.etsu.edu/etd/1424

OAI identifier oai:identifier

oai:dc.etsu.edu:etd-2617