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Fig. 2 | Journal of NeuroEngineering and Rehabilitation

Fig. 2

From: Prediction of gait intention from pre-movement EEG signals: a feasibility study

Fig. 2

The cleaning process of EEG data from subject 5. a Shows the performance of ASR in removing eye movement artifacts and unnatural high amplitude noise. Moreover, channel Pz was marked as a flat channel and was rejected by the algorithm. b and c shows the power spectrum and scalp distribution of a rejected Independent Component. The IC was rejected due to its low contribution to the scalp data variance and unusual peaks at higher frequencies like 60 and 70 Hz. d shows the EEG signal obtained after ASR operation and artifactual IC rejection

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