Muhammad Nadzeri Munawar
33 linhas
1.1 KiB
Matlab
33 linhas
1.1 KiB
Matlab
function Datasets = saveDatasets(project_path,method,class)
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if strcmp(method,'fft')
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basePath = strcat(project_path,'\FFT_EEG_',upper(class),'\');
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elseif strcmp(method,'swt')
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basePath = strcat(project_path,'\SWT_EEG_',upper(class),'\');
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elseif strcmp(method,'ica_fft')
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basePath = strcat(project_path,'\ICA_FFT_EEG_',upper(class),'\');
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elseif strcmp(method,'ica_swt')
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basePath = strcat(project_path,'\ICA_SWT_EEG_',upper(class),'\');
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end
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all_files = dir(basePath);
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all_files = all_files(3:end);
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all_dir = all_files([all_files(:).isdir]);
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subject = numel(all_dir);
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counterDatasets = 1;
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for h=1:subject
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directory = sprintf('S%02d',h);
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allList = dir( strcat(basePath,directory ));
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allFiles = { allList(3:end).name };
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trial = length(allFiles);
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for i = 1:trial
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rawData = csvread(strcat(basePath,directory,'\T',num2str(i),'.csv'));
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Datasets(counterDatasets,:) = rawData;
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counterDatasets=counterDatasets+1;
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end
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end
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csvwrite(strcat(project_path,'\Metadata\datasets_',method,'_',class,'.csv'),Datasets);
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end |