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Localization of somatosensory evoked potentials in primary somatosensory cortex: a comparison between PCA and MUSIC
W Mühlnickel1, W Lutzenberger, H Flor
1Department of Psychology, Humboldt-University Berlin, Germany. muehlnickel@rz.hu-berlin.de
Brain Topography
|April 27, 1999
Abstract:
The aim of this study was to test source modeling strategies for EEG-data from a clinical group of amputees. The experimental conditions (measuring time, age and condition of the patients) resulted in low quality EEG-data. Noise reduction was achieved by a principal component analysis (PCA) and a multiple signal classification (MUSIC). A comparison of the results of these two methods with traditional signal handling yielded superior results for the MUSIC algorithm.