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TVCG
2008

Data-Driven Visualization and Group Analysis of Multichannel EEG Coherence with Functional Units

13 years 5 months ago
Data-Driven Visualization and Group Analysis of Multichannel EEG Coherence with Functional Units
Abstract-- A typical data-driven visualization of electroencephalography (EEG) coherence is a graph layout, with vertices representing electrodes and edges representing significant coherences between electrode signals. A drawback of this layout is its visual clutter for multichannel EEG. To reduce clutter, we define a functional unit (FU) as a data-driven region of interest (ROI). An FU is a spatially connected set of electrodes recording pairwise significantly coherent signals, represented in the coherence graph by a spatially connected clique. Earlier we presented two methods to detect FUs, a maximal clique based (MCB) method (time complexity O(3n/3 ), with n the number of vertices) and a more efficient watershed based (WB) method (time complexity O(n2 log n)). To reduce the potential over-segmentation of the WB method, we introduce an improved watershed based (IWB) method (time complexity O(n2 log n)). The IWB method merges basins representing FUs during the segmentation if they are...
Michael ten Caat, Natasha M. Maurits, Jos B. T. M.
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2008
Where TVCG
Authors Michael ten Caat, Natasha M. Maurits, Jos B. T. M. Roerdink
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