function readEEG(pathToFile, subject,number,windowEMG,windowEEG,shift,maxFile,threshold,pburgOrder,minEEGFreq,maxEEGFreq)

    %fprintf('start read %s%i %s\n',subject,number,datestr(datetime('now')));

    trainingDataEEGcell=cell(maxFile,1);
    trainingDataEMGcell=cell(maxFile,1);
    classesCell=cell(maxFile,1);
    kin=cell([maxFile,1]);

    for i=1:maxFile
        [sig, stat, params] = load_bcidat(strcat(pathToFile,sprintf('%s/%s_B100%i/%s_B1S00%iR0%i.dat',subject,subject,number,subject,number,i)));
        tmpKin=csvread(strcat(pathToFile,sprintf('kin/%s_B1S00%iR0%i.txt',subject,number,i)),1,0);
        [trainingDataEEGcell{i},trainingDataEMGcell{i},kin{i}]=generateTrainingData(sig,tmpKin(:,1:4),windowEMG,windowEEG,shift,params,pburgOrder,minEEGFreq,maxEEGFreq);
        classesCell{i}=stat.StimulusCode;
        %fprintf('%ith file processed\n',i)
    end
    bci_sf=params.SamplingRate.NumericValue;

    clear sig

    trainingDataEEG=cell2mat(trainingDataEEGcell);
    trainingDataEMG=cell2mat(trainingDataEMGcell);
    classesMat=cell2mat(classesCell);
    kinMat=cell2mat(kin);
    clear trainingDataEEGcell trainingDataEMGcell classesCell kin

    classificationWithPause=classifyAccordingToEMG(trainingDataEEG, trainingDataEMG,classesMat,shift,bci_sf,threshold);
    clear classesMat

    smoothClassification=zeros(size(classificationWithPause));
    for i=1:size(classificationWithPause,1)
        smoothClassification(i)=round(mode(classificationWithPause(max(i-fix(bci_sf/500),1):min(i+fix(bci_sf/500),end))));       
    end

    clear classificationWithPause

    trainingDataEEG=trainingDataEEG(smoothClassification~=-1,:,:);
    trainingDataEMG=trainingDataEMG(smoothClassification~=-1,:);
    classification=smoothClassification(smoothClassification~=-1);
    kinematics=kinMat(smoothClassification~=-1,:);

    clear smoothClassification i
    save(strcat(pathToFile,sprintf('../matlabData/%s%i200msWindowEMG1sWindowEEG200msShift1sPauseFreq0to200.mat',subject,number)),'trainingDataEEG','trainingDataEMG','classification','kinematics','-v7.3');
    

    %fprintf('finished reading %s%i %s\n',subject,number,datestr(datetime('now')));
end