Abstract
The aim of this study was to test source modeling strategies for EEC-data from a clinical group of amputees. The experimental conditions (measuring time, age and condition of the patients) resulted in low quality EEC-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.
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Mühlnickel, W., Lutzenberger, W. & Flor, H. Localization of Somatosensory Evoked Potentials in Primary Somatosensory Cortex: A Comparison Between PCA and MUSIC. Brain Topogr 11, 185–191 (1999). https://doi.org/10.1023/A:1022277611252
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DOI: https://doi.org/10.1023/A:1022277611252