Title :
Topographical mapping of brain electrical activity
Author :
Law, S.K. ; Nunez, P.L. ; Westdorp, A.F. ; Nelson, A.V. ; Pilgreen, K.L.
Author_Institution :
Dept. of Biomed. Eng., Tulane Univ., New Orleans, LA, USA
Abstract :
Current topographical mapping methods and problems associated with mapping are reviewed, and one approach for improving the spatial resolution of scalp recorded EEGs is detailed. In particular, techniques for interpolating the potential distribution and estimating the surface Laplacian from multichannel data are presented and applied to human evoked potential data. Although developed for electroencephalographic data, these spline algorithms can be applied to a variety of fields where visualization of spatial information is desired
Keywords :
bioelectric potentials; brain; computer graphics; computerised picture processing; electroencephalography; interpolation; medical computing; splines (mathematics); brain electrical activity; electroencephalographic data; human evoked potential data; interpolation; multichannel data; potential distribution; scalp recorded EEGs; spatial information visualization; spatial resolution; spline algorithms; surface Laplacian; topographical mapping; Biomedical engineering; Brain; Data visualization; Electroencephalography; Humans; Physics; Psychology; Scalp; Spatial resolution; Surface topography;
Conference_Titel :
Visualization, 1991. Visualization '91, Proceedings., IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-2245-8
DOI :
10.1109/VISUAL.1991.175800
