NDLI: Spatial Enhancement of Event-Related Potentials Using Multiresolution Analysis

Content Provider	Springer Nature Link
Author	Wang, Kongming Begleiter, Henri Porjesz, Bernice
Copyright Year	1998
Abstract	Multiresolution analysis is a potentially useful tool to enhance the brain's electrical fields (spatial distributions of event-related potentials (ERP)), and to bring out spatial features which may not be seen in the fields before enhancement. For comparing different images (slices from ERP of different subjects or from the same subject but evoked by different stimuli), we define a measure (surface energy) at each decomposition scale and for different wavelets. The best wavelet and the best level for comparing the given images can be chosen based on this measure. Our experiments show that for very similar images, their difference can be brought out at some scale level. Three preprocessing steps are needed in order to carry out this wavelet analysis. First, a wavelet denoising step is needed to remove noise from the raw ERP. Secondly, a one-to-one mapping is needed to map scalp surface into a square, because the current wavelet analysis theory and algorithm are constructed on regular domains. Finally, a fitting or interpolation step is needed to construct an image on a regular grid in order to apply the fast wavelet transform algorithms.
Starting Page	191
Ending Page	200
Page Count	10
File Format	PDF
ISSN	08960267
Journal	Brain Topography
Volume Number	10
Issue Number	3
e-ISSN	15736792
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	1998-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Neurosciences Neurology Psychiatry
Content Type	Text
Resource Type	Article
Subject	Neurology Anatomy Radiology, Nuclear Medicine and Imaging Neurology (clinical) Radiological and Ultrasound Technology

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