% applytochannels() - "wrapper" function that allows to apply % existing EEGLAB functions to only a subset of channels. % Only some EEGLAB functions (e.g. runICA) can be applied to % subsets of channels, while others (filtering, baseline % subtraction) are applied to all channels if called via the % GUI. % Many operations (e.g. baseline subtraction) make % sense for EEG/MEG data, but not necessarily for peripheral % data channels (e.g. gaze position, pupil, ECG, GSR...). % % Usage: % >> [EEG inner_com] = applytochannels(EEG,targetchans,func_call) % % Inputs: % EEG - [string] EEG struct % targetchans - indices of channels to which function shall be applied % func_call - EEGLAB function call, see below for examples % % Outputs: % EEG - EEG struct % inner_com - command string for EEGLAB history functionality (eegh) % % % Example usage of the function might look like this: % % >> EEG = applytochannels(EEG,[1:32],'pop_rmbase(EEG,[-100 0]);'); % % In this example, channels 1 to 32 are baseline corrected using EEGLAB % function pop_rmbase(), but not the other (non-EEG) channels % % >> EEG = applytochannels(EEG,[1:32],'pop_eegfilt(EEG,0,80,[],[0],0,0,''fir1'',0);'); % % In this example, function pop_eegfilt() is applied only to channels % 1 to 32 (the EEG channels) of a dataset, the other non-EEG % channels are not filtered. Make sure to properly espace special % characters like (') % % Author: od % Copyright (C) 2009-2017 Olaf Dimigen & Ulrich Reinacher, HU Berlin % olaf.dimigen@hu-berlin.de % This program is free software; you can redistribute it and/or modify % it under the terms of the GNU General Public License as published by % the Free Software Foundation; either version 3 of the License, or % (at your option) any later version. % % This program is distributed in the hope that it will be useful, % but WITHOUT ANY WARRANTY; without even the implied warranty of % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the % GNU General Public License for more details. % % You should have received a copy of the GNU General Public License % along with this program; if not, write to the Free Software % Foundation, 51 Franklin Street, Boston, MA 02110-1301, USA function [EEG inner_com] = applytochannels(EEG,targetchans,func_call) fprintf('\n%s(): applying function ''%s'' to channels: %s\n',mfilename,func_call,vararg2str(targetchans)) inner_com = ''; size(EEG.data) % remember original data EEGorg = EEG; % delete non-target channels otherchans = ~ismember(1:EEG.nbchan,targetchans); if size(EEG.data,3) == 1 % continuous data EEG.data(otherchans,:) = []; else % epoched data EEG.data(otherchans,:,:) = []; end % update EEG.nbchan EEG.nbchan = size(EEG.data,1); EEG.chanlocs(otherchans) = []; % avoid warning in console %% execute the "inner" (wrapped) EEGLAB function & update "inner_com" if ~isempty(strfind(func_call,'timtopo')) % functions with 1 output func_call_full = sprintf('[inner_com] = %s',func_call); eval(func_call_full); else % functions with 2 outputs func_call_full = sprintf('[EEG inner_com] = %s',func_call); eval(func_call_full); end % eegfilt() returns 3D data (chan x time x epoch) as 2D (chan x (time/epoch)) % EEGLAB restores three-dimensionality by running eeg_checkset() EEG = eeg_checkset(EEG); %% join modified targetchannels with the original (untouched) channels % continuous or epoched data? if size(EEGorg.data,3) == 1 EEGorg.data(targetchans,:) = EEG.data(:,:); else EEGorg.data(targetchans,:,:) = EEG.data(:,:,:); end EEG = EEGorg; EEG.nbchan = size(EEG.data,1);