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3D EEG data analysis under MATLAB

What is g.HReeg toolbox for g.BSanalyze?

g.HReeg toolbox is an interactive environment for high resolution EEG data processing. — The investigation of patterns and signal features of EEG data combined with anatomical information based on MRI or CT data allow to observe noninvasively brain functions and disfunctions.

The graphical user interface of g.HReeg enables you to perform the spatiotemporal analyses of multi-channel electroenecephalogram data. 3D spatial highpass filtering allows to visualize local EEG phenomena e.g. in the central areas. In addition, you can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

 

Combine EEG and anatomical data

Starting from segmented MR images, boundary models for scalp and brain are automatically generated. In order to see through the scalp, the transparency and the smoothness of the brain and scalp boundary models can be chosen. EEG maps are displayed on the surface of the scalp model or calculated as high resolution maps on the brain.
The high resolution EEG maps are calculated based on a 3D spline surface Laplacain method. The head is represented by a spline model and this geometric information is used in calculating the 2nd spatial derivatives. Smoothing of the results is done via a truncated singular value decomposition.

Display Data Maps

Display sequences of spatially highpass filtered data with 3D spline surface Laplacian method on the surface of the head, at idealized planar electrode positions or on the surface of the brain
Rotate freely the head model and change the view angle for optimal presentation and change colormaps for optimal displaying spatiotemporal information in the maps

Download brochure: HReeg-Toolbox (PDF 1.4 MByte)

Download complete brochure: g.BSanalyze (PDF 5.7 MByte)
 
Package includes Software modules, help manual, hardlock
Technical Requirements MATLAB, g.BSanalyze base version

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