Title :
BrainNetVis: Analysis and visualization of brain functional networks
Author :
Tsiaras, Vassilis ; Andreou, Dimitris ; Tollis, Ioannis G.
Abstract :
BrainNetVis is an application, written in Java, that displays and analyzes synchronization networks from brain signals. The program implements a number of network indices and visualization techniques. We demonstrate its use through a case study of left hand and foot motor imagery. The data sets were provided by the Berlin BCI group. Using this program we managed to find differences between the average left hand and foot synchronization networks by comparing them with the average idle state synchronization network.
Keywords :
Java; brain-computer interfaces; electroencephalography; medical signal processing; neural nets; neurophysiology; synchronisation; user interfaces; Berlin BCI group; BrainNetVis; EEG; Java; average idle state synchronization network comparison; brain functional networks visualization; brain signals; foot motor imagery; left hand motor imagery; network indices; synchronization network analysis; Algorithms; Biomedical Engineering; Brain; Brain Mapping; Computers; Electroencephalography; Foot; Hand; Humans; Models, Statistical; Programming Languages; Signal Processing, Computer-Assisted; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334489
