我必须分析一些脑电数据,并试图使预处理过程自动化。
我有40个参与者。每个参与者都有4个不同的文件,用于4种条件。
所以这些文件被保存为
1-1
1-2
1-3
1-4
2-1
2-2
2-3
2-4
... 最多40-4
这些文件来自BioSemi (.bdf)
我已经能够自动化的预处理过程,但每次我必须选择不同的文件,运行脚本,并保存它。
我想要运行一个for循环来完成这一切(取1-1,运行预处理,保存,取1-2.等等)。
跟着我,我正在粘贴我到目前为止所得到的东西。
我一整天都在尝试编写一个for循环,但它只是不起作用。
我真的很感谢你的帮助。
这是当前的预处理脚本:
subject = '1-1.bdf'
%Open EEGLAB and inizialize several EEGLAB variables (listed in the output
%function
[ALLEEG EEG CURRENTSET ALLCOM] = eeglab;
%Load a file
%EEG=pop_loadset; % pop up window to input arguments
EEG = pop_biosig(subject) %Reads in the dataset frin a BIOSEMI file
% Stores the dataset into EEGLAB
[ALLEEG EEG CURRENTSET ] = eeg_store(ALLEEG, EEG);
%Change sampling rate to 512
EEG = eeg_checkset( EEG );
EEG = pop_resample( EEG, 512);
[ALLEEG EEG CURRENTSET] = pop_newset(ALLEEG, EEG, CURRENTSET); %save it as a new dataset
% Edit Channel Location
EEG = eeg_checkset( EEG );
EEG=pop_chanedit(EEG, 'lookup','D:\\Matlab\\eeglab_current\\eeglab13_5_4b\\plugins\\dipfit2.3\\standard_BESA\\standard-10-5-cap385.elp');
% Store the dataset into EEGLAB
[ALLEEG EEG CURRENTSET] = pop_newset(ALLEEG, EEG, 2,'overwrite','on','gui','off');
% Add some comments
EEG.comments = pop_comments(EEG.comments,'','Sampling rate was changed to 512.',1);
% You can see the comments stored with the dataset either by typing >> EEG.comments or selecting the menu option Edit->About this dataset.
%Select Data. Remove EXG5:EXG8
EEG = eeg_checkset( EEG );
EEG = pop_select( EEG,'nochannel',{'EXG5' 'EXG6' 'EXG7' 'EXG8'});
[ALLEEG EEG CURRENTSET] = pop_newset(ALLEEG, EEG, 2,'overwrite','on','gui','off');
%HighPassFilter 0.5
EEG = eeg_checkset( EEG );
EEG = pop_eegfilt( EEG, 0.5, 0, [], [0], 0, 0, 'fir1', 0);
[ALLEEG EEG CURRENTSET] = pop_newset(ALLEEG, EEG, 2,'overwrite','on','gui','off');
%LowPassFilter 50
EEG = eeg_checkset( EEG );
EEG = pop_eegfilt( EEG, 0, 50, [], [0], 0, 0, 'fir1', 0);
[ALLEEG EEG CURRENTSET] = pop_newset(ALLEEG, EEG, 2,'overwrite','on','gui','off');
%ReReference to 35 36 (EXG3. EXG4)
EEG = eeg_checkset( EEG );
EEG = pop_reref( EEG, [35 36] );
[ALLEEG EEG CURRENTSET] = pop_newset(ALLEEG, EEG, 2,'overwrite','on','gui','off');
% Reject Continuous By Eye
EEG = eeg_checkset( EEG );
pop_eegplot( EEG, 1, 0, 1);
eeglab redraw % Update the EEGLAB window to view changes
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Automatic Channel Rejection
EEG = eeg_checkset( EEG );
EEG = pop_rejchan(EEG, 'elec',[1:34] ,'threshold',5,'norm','on','measure','prob');
[ALLEEG EEG CURRENTSET] = pop_newset(ALLEEG, EEG, 2,'overwrite','on','gui','off');
eeglab redraw % Update the EEGLAB window to view changes 发布于 2016-04-25 20:38:40
下面是如何访问循环中的文件名,以便运行MATLAB脚本。最简单的方法就是将您的.bdf文件单独放到文件夹中。然后编写一个包装所需功能的函数,如下所示:
function run_script_with_loop(pathname)
file_struct_list = dir([pathname filesep() '*.bdf']); %% get list of .bdf files in the pathname specified
filename_list = {file_struct_list.name}; %% extract the filenames into a cellarray
for subject = filename_list %% this iterates over the elements of the cell array, one-by-one, setting the `filename` variable like a loop variable
[ALLEEG EEG CURRENTSET ALLCOM] = eeglab;
full_pathname = [pathname filesep() subject{1}];
EEG = pop_biosig(full_pathname); %% perform your processing
...
end几点意见:
filesep()的使用不了解平台,所以这应该适用于linux / mac/ windows。如果您在与数据文件相同的目录中运行代码,那么当然可以简化这一点{}时,请确保使用大括号subject。如果您在subject(1)中使用标准matlab数组引用,那么您将得到一个包含文件名字符串的单元格数组,而不仅仅是普通的文件名字符串。dir()命令就像windows中的dir或Linux中的ls一样,您可以使用通配符获取自定义的文件列表,比如dir('1-*.bdf'),只获取主题1的数据文件列表。https://stackoverflow.com/questions/36848619
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