Thesis Details
Brain Signals Visualization
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.
human brain, electroencephalography, signal processing, data visualization, OpenGL, 3D brain model
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
@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/" }