a_load_all_data.m

clear all;
startup_bbci_toolbox

%% Load Isolated data
BTB.DataDir = 'A:\Scientific_data\revision\MobileBCI_BIDS';

BTB.task = 'SSVEP'; %ERP, SSVEP
datatype = 'eeg';
%%
switch(BTB.task)
    case 'SSVEP'
        disp_ival= [0 5000]; % SSVEP
        trig_sti = {11,12,13; '5.45','8.57','12'};
        nSub = 23;
    case 'ERP'
        disp_ival= [-200 800]; % ERP
        ref_ival= [-200 0] ;
        trig_sti = {2,1 ;'target','non-target'};
        nSub = 24;
end
%%
CNT = []; 
MRK = [];
EPO = [];
MNT = [];
for subNum = 1:nSub
fprintf('Load Subject %02d ...\n',subNum)

for sesNum = 1:5
    
    sub_dire = sprintf('sub-%02d/ses-%02d',subNum,sesNum);
    % sub-01_task-ERP_speed-0.8_scalp-EEG
    naming = sprintf('sub-%02d_ses-%02d_task-%s_%s',...
        subNum,sesNum,BTB.task,datatype);
    filename = fullfile(BTB.DataDir,sub_dire,datatype,naming);
    
    % load data
    try
        [CNT{subNum,sesNum}, mrk_orig, hdr] = file_readBV(filename, 'Fs', 100);
    catch
        continue;
    end
    
    % create mrk
    MRK{subNum,sesNum}= mrk_defineClasses(mrk_orig, trig_sti);
    
    % segmentation
    EPO{subNum,sesNum} = proc_segmentation(CNT{subNum,sesNum}, MRK{subNum,sesNum}, disp_ival);
    
    MNT= mnt_setElectrodePositions(CNT{subNum,sesNum}.clab);
    
end
end