Homec4science
Diffusion iCAPs public version 2 (master) Browse

iCAPs_v2/packages/spm12/config/spm_cfg_eeg_remove_bad_trials.m
e5f5005bb2efmaster

Last Change
Raw File

spm_cfg_eeg_remove_bad_trials.m
View Options

function remove = spm_cfg_eeg_remove_bad_trials
% configuration file for copying
%__________________________________________________________________________
% Copyright (C) 2009-2012 Wellcome Trust Centre for Neuroimaging
% Vladimir Litvak
% $Id: spm_cfg_eeg_remove_bad_trials.m 5377 2013-04-02 17:07:57Z vladimir $
%--------------------------------------------------------------------------
% D
%--------------------------------------------------------------------------
D = cfg_files;
D.tag = 'D';
D.name = 'File Name';
D.filter = 'mat';
D.num = [1 1];
D.help = {'Select the M/EEG mat file.'};
%--------------------------------------------------------------------------
% prefix
%--------------------------------------------------------------------------
prefix = cfg_entry;
prefix.tag = 'prefix';
prefix.name = 'Filename Prefix';
prefix.help = {'Specify the string to be prepended to the filenames of the output dataset. Default prefix is ''r''.'};
prefix.strtype = 's';
prefix.num = [1 Inf];
prefix.val = {'r'};
%--------------------------------------------------------------------------
% remove
%--------------------------------------------------------------------------
remove = cfg_exbranch;
remove.tag = 'remove';
remove.name = 'Remove bad trials';
remove.val = {D, prefix};
remove.help = {'Removes bad trials and re-orders trials to conform to condlist'}';
remove.prog = @eeg_remove;
remove.vout = @vout_eeg_remove;
remove.modality = {'EEG'};
%==========================================================================
function out = eeg_remove(job)
% construct the S struct
S = job;
S.D = S.D{1};
out.D = spm_eeg_remove_bad_trials(S);
out.Dfname = {fullfile(out.D)};
%==========================================================================
function dep = vout_eeg_remove(job)
% return dependencies
dep(1) = cfg_dep;
dep(1).sname = 'Cleaned M/EEG data';
dep(1).src_output = substruct('.','D');
dep(1).tgt_spec = cfg_findspec({{'strtype','e'}});
dep(2) = cfg_dep;
dep(2).sname = 'Cleaned M/EEG datafile';
dep(2).src_output = substruct('.','Dfname');
dep(2).tgt_spec = cfg_findspec({{'filter','mat'}});
c4science · Help