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Hand motor performance decoding using slow potentials

(Suitable for BSc thesis or MSc. project)

Simple repetitive hand motor tasks, such as those used for rehabilitation training after stroke, are known to show strong trial-by-trial performance variations. It is known, that neural oscillators measured by the electroencephalogram can predict the performance of the upcoming trial. However, it is not clear, if slow signal components such as the Bereitschaftspotential / readiness potential may also be present, and if so, if these potentials also contain information about the trial performance.



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