تنظيم الملفات والتخزين

من الواجهة

1. File › Save current dataset asEdit › Dataset infoDataset name
2. File › BIDS tools › BIDS export wizard (from raw EEG to BIDS)
3. File › BIDS tools › Export STUDY to BIDS folder
4. File › BIDS tools › Validate BIDS dataset

السكربت

[ALLEEG, EEG, CURRENTSET, ALLCOM] = eeglab;
eeglabRoot = fileparts(which('eeglab'));
projectRoot = pwd;   % run from inside faces_project
bidsRoot    = fullfile(projectRoot, 'rawdata');            % ds002718 lives here
derivRoot   = fullfile(projectRoot, 'derivatives', 'eeglab');
folders = {bidsRoot, derivRoot, fullfile(projectRoot, 'code'), ...
           fullfile(projectRoot, 'figures'), fullfile(projectRoot, 'logs')};
for k = 1:numel(folders)
    if ~exist(folders{k}, 'dir'), mkdir(folders{k}); end
end
rawFiles  = dir(fullfile(bidsRoot, 'sub-*', 'eeg', '*_eeg.set'));
rawGB     = sum([rawFiles.bytes]) / 1e9;
nSubjects = numel(rawFiles);
fprintf('%d subject(s) on disk, %.2f GB of raw data\n', nSubjects, rawGB);
nSavedStages = 2;   % clean continuous + epochs
fprintf('Derivatives for these subjects: up to about %.1f GB\n', rawGB * nSavedStages);
fprintf('Full dataset (18 subjects): about %.1f GB raw\n', 18 * rawGB / max(nSubjects, 1));
subj   = 'sub-002';
stage  = 'clean';
outDir = fullfile(derivRoot, subj, 'eeg');
if ~exist(outDir, 'dir'), mkdir(outDir); end
outName = sprintf('%s_task-FaceRecognition_desc-%s_eeg.set', subj, stage);
fprintf('Save stage "%s" as %s\n', stage, fullfile(outDir, outName));
data = struct('file', {fullfile(eeglabRoot, 'sample_data', 'eeglab_data.set')});
bids_export(data, 'targetdir', fullfile(projectRoot, 'd1_bids'), ...
    'tInfo', struct('TaskName', 'attention', 'PowerLineFrequency', 60));

أي قيمة أختار؟