1999
DOI: 10.1023/a:1022277611252
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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.

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Cited by 8 publications
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References 24 publications
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