ما هو STUDY ومتى تحتاجه

من الواجهة

1. File › Load existing dataset ← animal_study/cba/cbaanimal.set
2. Channels per frameFrames per epochEpochsSampling rate (Hz)Epoch start (sec)Epoch end (sec)ReferenceChannel locationsICA weights
3. Epochs

السكربت

files = dir(fullfile(studyDir, '*', '*.set'));
fprintf('%d dataset files under %s\n', numel(files), studyDir);
animalFiles = files(contains({files.name}, 'animal'));
A = pop_loadset('filename', animalFiles(1).name,   'filepath', animalFiles(1).folder,   'loadmode', 'info');
B = pop_loadset('filename', animalFiles(end).name, 'filepath', animalFiles(end).folder, 'loadmode', 'info');
show = @(label, a, b) fprintf('%-20s %-14s %-14s\n', label, num2str(a), num2str(b));
fprintf('%-20s %-14s %-14s\n', 'Property', animalFiles(1).name, animalFiles(end).name);
show('Sampling rate (Hz)', A.srate,  B.srate);
show('Channels',           A.nbchan, B.nbchan);
show('Points per epoch',   A.pnts,   B.pnts);
show('Epoch start (s)',    A.xmin,   B.xmin);
show('Epoch end (s)',      A.xmax,   B.xmax);
show('Epochs',             A.trials, B.trials);
show('ICA weights',        ~isempty(A.icaweights), ~isempty(B.icaweights));
show('ICA components',     size(A.icaweights, 1), size(B.icaweights, 1));
show('ICLabel results',    isfield(A.etc, 'ic_classification'), isfield(B.etc, 'ic_classification'));
show('Dipoles',            isfield(A.dipfit, 'model'), isfield(B.dipfit, 'model'));
fprintf('Same channel labels in the same order: %d\n', ...
    isequal({A.chanlocs.labels}, {B.chanlocs.labels}));
eeg_eventtypes(A);
eeg_eventtypes(B);

أي قيمة أختار؟

لقسم Methods

Before group analysis, the datasets of all [14] participants were checked for identical sampling rate, epoch limits, channel labels and event types (EEGLAB 2026.1).