A Reliable and Quantitative way of TMS-induced EEG Artifacts Removal
نویسندگان
چکیده
A noble reliable and quantitative method of TMS-induced EEG artifacts removal is suggested. The method is based on the cross-correlations of ICA components of interactively real TMS and fake TMS groups. FastICA algorithm was used for the ICA decomposition and FIR and notch filtering were preprocessed. A total of two healthy male subjects were selected in this study. ICA filters trained on the reduced version of 60 channel EEG data collected during single pulse TMS and fake TMS recordings. The results showed the reliable and quantitative way in the assessment of the TMS-induced EEG artifact removal suggesting the excellent efficiency of the method developed in this study
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