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dc.contributor.authorCaat, Michael tenen_US
dc.contributor.authorMaurits, N. M.en_US
dc.contributor.authorRoerdink, J. B. T. M.en_US
dc.contributor.editorKen Brodlie and David Duke and Ken Joyen_US
dc.date.accessioned2014-01-31T06:51:58Z
dc.date.available2014-01-31T06:51:58Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-19-3en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VisSym/EuroVis05/061-068en_US
dc.description.abstractThe field of visualization assists data interpretation in many areas, but some types of data are not manageable by existing visualization techniques. This holds in particular for time-varying multichannel EEG data. No existing technique can simultaneously visualize information from all channels in use and all time steps. To address this problem, a new visualization technique 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 the classical parallel coordinates. The usefulness of the new method, referred to as tiled parallel coordinates, is demonstrated by one particular type of EEG data. It can be applied to an arbitrary number of time steps, for the maximum number of channels currently in use. The general setup of the method makes it widely applicable to other time-varying multivariate data types.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): E.0 [Data]: General; J.3 [Life and Medical Sciences]: Healthen_US
dc.titleTiled Parallel Coordinates for the Visualization of Time-Varying Multichannel EEG Dataen_US
dc.description.seriesinformationEUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualizationen_US


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