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The classification and identification technology plays an important role in the research of brain-computer interface (BCI) systems. In this paper, we do fuzzy clustering disposal for the multi-channel electroencephalogram (EEG) during finger movement at first according to event-related desynchronization phenomena (ERD) in the event-related EEG. Then we classify signal-trial EEG with the feature extracted...
EEG is one of the mini-voltages. In order to improve the performance of EEG and increase the measure efficiency, we must eliminate the noise in EEG. Wavelet transformation is a kind of analytical tool in time-scale domain. It has the feature of multi-resolution analysis and the adaptation characteristic for signal. A noise rejection method with wavelet transformation was proposed here which is used...
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