clear all

addpath(genpath(['subfunctions/']))

mainfolder=''

%All partis
partis_sub= [{'pi03'};{'p04'};{'p05'};{'p06'};{'p07'};{'p08'};...
    {'p10'};{'p11'};{'p12'};{'p13'};{'p14'};{'p15'};{'p16'};{'p17'};{'p18'};...
    {'p19'};{'p20'};{'p21'};{'p22'};{'p23'};{'p24'};{'p25'};{'p26'};...
    {'p27'};{'p28'};{'p29'};{'p30'};{'p31'};{'p32'};{'p34'};{'p35'};{'p36'};{'p37'};...
    {'p38'};{'p39'};{'p40'};{'p41'};{'p42'};{'p43'};{'p44'};{'p45'};{'p46'};{'p47'};...
    {'p48'};{'p49'};{'p50'};{'p51'};{'p53'};{'p54'};{'p55'};{'p56'};{'p57'}...
    ]

%participant 09 not included (wearing glasses a considerable amount of signal missed)
%participant 33 not included (really low accuracy, feeling unwell and data to be reconstructed)
%participant 52 not included (the participants had glasses full of scratches, the eyetracker did not work)


%% Excluding based on accuracy

accuracy_plots=0;
exclude;

%% Excluding outliers with a high percetange of NaN in the signal

figure_NaNs=1;
check_percentage_of_NaN_eyes_2022

%% Saving

save('good_partis.mat','good_partis')