Issue No. 01 - January/February (2007 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2007.9
Michael ten Caat , Department of Mathematics and Computing Science, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands.
Natasha M. Maurits , Department of Neurology, V4, University Medical Center Groningen, PO Box 30001, 9700 RB Groningen, The Netherlands
Jos B.T.M. Roerdink , Department of Mathematics and Computing Science, University of Groningen, PO Box 800, 9700 AV Groningen, The Netherlands.
The field of visualization assists data interpretation in many areas, but does not manage all types of data equally well. This holds, in particular, for time-varying multichannel EEG data. No existing method can successfully visualize simultaneous information from all channels in use at all time steps. To address this problem, a new visualization method is presented based on the parallel coordinate method and making use of a tiled organization. This tiled organization employs a two-dimensional row-column representation, rather than a one-dimensional arrangement in columns as used for classical parallel coordinates. The usefulness of the new method, referred to as tiled parallel coordinates (TPC), is demonstrated by a particular type of EEG data. It can be applied to an arbitrary number of time steps, handling the maximum number of channels currently in use. An extensive user evaluation shows that, for a typical EEG assessment task, data evaluation by the TPC method is faster than by an existing clinical EEG visualization method, without loss of information. The generality of the TPC method makes it widely applicable to other time-varying multivariate data types
medical signal processing, electroencephalography
M. t. Caat, N. M. Maurits and J. B. Roerdink, "Design and Evaluation of Tiled Parallel Coordinate Visualization of Multichannel EEG Data," in IEEE Transactions on Visualization & Computer Graphics, vol. 13, no. 1, pp. 70-79, 2007.