Independent component analysis (ICA) is a powerful data-driven tool capable of separating linear contributions in the data. This article focuses on a relevant application for the identification of motion artifacts on Electroencephalogram (EEG) data.
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The power of Independent Component Analysis (ICA) on real-world applications - EGG example
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