Thesis Details

Brain Signals Visualization

Bachelor's Thesis Student: Ševčík Ivan Academic Year: 2014/2015 Supervisor: Košík Michal, Ing.
Czech title
Vizualizace elektrických signálů mozku
Language
English
Abstract

EEG is a non-invasive method for measuring brain activity, which gives an important insight into mental processes. This work presents an application that serves as a visual EEG data analysis tool. The application concept is based on the existing solutions, which were analyzed as a part of this thesis. The application combines signal browser in form of a view composed of multiple charts with 2D and 3D visualizations that are helpful in recognition of particular brain activity. In addition, it implements convenient signal processing methods. The thesis is concluded by a summarization of accomplishments and future work's directions.

Keywords

human brain, electroencephalography, signal processing, data visualization, OpenGL, 3D brain model

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
16 June 2015
Reviewer
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
ŠEVČÍK, Ivan. Brain Signals Visualization. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-16. Supervised by Košík Michal. Available from: https://www.fit.vut.cz/study/thesis/16538/
BibTeX
@bachelorsthesis{FITBT16538,
    author = "Ivan \v{S}ev\v{c}\'{i}k",
    type = "Bachelor's thesis",
    title = "Brain Signals Visualization",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/16538/"
}
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