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Commit 20f26fac authored by Mike Cichonski's avatar Mike Cichonski
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added figures and improvements to group study_diagnostics.m

parent b0ccf6d3
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plugins/other_functions/rotate_ticks.m 0 → 100644
View file @ 20f26fac
function[tl1,tl2]=rotatetl(h,rot,tb)
%%%%%%%%%%%%%%%%%%%% Get current graph properties %%%%%%%%%%%%%%%%%%%%%%%
a=get(h,'XTickLabel');
b=transpose(get(h,'XTick'));
c=get(h,'YLim');
if strcmpi(tb,'t') || strcmpi(tb,'top'),
tb=2;
elseif strcmpi(tb,'b') || strcmpi(tb,'bottom'),
tb=1;
else
disp('The third argument is not recognized, try top or bottom');
end
%%%%%%%%%%%%%%%% Erase current tick labels from figure %%%%%%%%%%%%%%%%%%
set(h,'XTickLabel',[]);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Routine %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if rot>=0 || rot<=360,
flag=1;
while flag
rot=mod(rot,360);
if rot>=0 && rot<=360,
flag=0;
end
end
end
k=1;
while k<=size(a,1);
a1(k/2+0.5,:)=a(k,:);
b1(k/2+.5)=b(k);
if k+1<=size(a,2);
a2(k/2+.5,:)=a(:,k+1);
end
if k+1<=size(b,1);
b2(k/2+.5)=b(k+1);
end
k=k+2;
end
c1=(c(1,tb)-(c(1,2)-c(1,1))*0.017).*ones(1,length(b1)); % upper ticks
c2=(c(1,tb)-(c(1,2)-c(1,1))*0.017).*ones(1,length(b2)); % lower ticks
tl1=text(b1,c1,a1,'HorizontalAlignment','center','rotation',rot,'VerticalAlignment','cap');
tl2=text(b2,c2,a2,'HorizontalAlignment','center','rotation',rot,'VerticalAlignment','cap');
end
\ No newline at end of file
plugins/other_functions/study_diagnostics.m 0 → 100644
View file @ 20f26fac
function study_diagnostics(ALLEEG,batch_config)
% diagnostics(ALLEEG,type) - Creates figures to aid user in understanding
% the generated marks, and the overal quality of the data.
%
%Copyright (C) 2017 BUCANL
%
%Code originally written by James A. Desjardins with contributions from
%Allan Campopiano and Andrew Lofts, supported by NSERC funding to
%Sidney J. Segalowitz at the Jack and Nora Walker Canadian Centre for
%Lifespan Development Research (Brock University), and a Dedicated Programming
%award from SHARCNet, Compute Ontario.
%
%This program is free software; you can redistribute it and/or modify
%it under the terms of the GNU General Public License as published by
%the Free Software Foundation; either version 2 of the License, or
%(at your option) any later version.
%
%This program is distributed in the hope that it will be useful,
%but WITHOUT ANY WARRANTY; without even the implied warranty of
%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
%GNU General Public License for more details.
%
%You should have received a copy of the GNU General Public License
%along with this program (LICENSE.txt file in the root directory); if not,
%write to the Free Software Foundation, Inc., 59 Temple Place,
%Suite 330, Boston, MA 02111-1307 USA
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%% Beginning of Calculating Statistics
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
data_chans = [];
data_time = [];
ica_chans = [];
sub_names = [];
sub_dir = dir('bids/derivatives/lossless/sub-*');
for i=1:length(sub_dir);
set_name = dir(['bids/derivatives/lossless/' sub_dir(i).name '/eeg/*set']);
if ~isempty(set_name);
set_name = ['bids/derivatives/lossless/' sub_dir(i).name '/eeg/' set_name.name];
EEG = pop_loadset('filename',set_name,'loadmode','info');
else
EEG =[];
end
if ~isempty(EEG);
ALLEEG = horzcat(ALLEEG,EEG);
end
end
%dat_ch_sd_all = ones(size(ALLEEG,1),longest_recording,ALLEEG(i).nbchan); % assuming all recordings have same number of channels
%dat_sd_t_all = ones(size(ALLEEG,1),longest_recording,ALLEEG(i).nbchan);
%icaact_sd1_t_all = ones(length(ALLEEG(1)),longest_recording,largest_ica_count);
%icaact_sd2_t_all = ones(length(ALLEEG(1)),longest_recording,largest_ica_count);
for i=1:length(ALLEEG);
EEG = ALLEEG(i);
fprintf(['\nChecking marks for file ' EEG.filename '...\n']);
fin_underscore = regexp(EEG.filename,'_');
fin_underscore = fin_underscore(end);
base_name = EEG.filename(1:fin_underscore-1);
sub_names = horzcat(sub_names,base_name(5:end));
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Channels
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fprintf('\nChannels\n');
fprintf('==================================================\n');
for j = 1:length(EEG.marks.chan_info)
%just flags
x = length(find(EEG.marks.chan_info(j).flags));
% All chans
y = length(EEG.marks.chan_info(j).flags);
disp(['Flagged: ' num2str(x) '/' num2str(y) ' Channels for ' EEG.marks.chan_info(j).label]);
end
%%%%%%%%%%%%%%%%%%
% Pie Chart Info %
%%%%%%%%%%%%%%%%%%
ca = length(EEG.marks.chan_info(1).flags); % All time
c2 = length(find(EEG.marks.chan_info(2).flags)); % 2
c3 = length(find(EEG.marks.chan_info(3).flags)); % 3
c4 = length(find(EEG.marks.chan_info(4).flags)); % 4
cm = length(find(EEG.marks.chan_info(1).flags)); % 5
ca = ca-cm; % Remaining All time
cpie = [ca c2 c3 c4];
data_chans = vertcat(data_chans,cpie);
%%%%%%%%%%%%%%%%%%%%%
% Scatter Plot Info %
%%%%%%%%%%%%%%%%%%%%%
s='[sd_ch_meth]';
sd_ch_meth=strtrim(batch_config(1).replace_string{find(strncmp(batch_config(1).replace_string,s,length(s)))}(length(s)+2:end));
s='[sd_ch_vals]';
sd_ch_vals=batch_config(1).replace_string{find(strncmp(batch_config(1).replace_string,s,length(s)))}(length(s)+2:end);
s='[sd_ch_o]';
sd_ch_o=batch_config(1).replace_string{find(strncmp(batch_config(1).replace_string,s,length(s)))}(length(s)+2:end);
s='[sd_ch_p]';
sd_ch_p=batch_config(1).replace_string{find(strncmp(batch_config(1).replace_string,s,length(s)))}(length(s)+2:end);
%data_sd_ch = load([EEG.filepath '/' base_name '_data_sd_ch.mat']);
%fieldname = fieldnames(data_sd_ch);
%fieldname = fieldname{1};
%data_sd_ch = data_sd_ch.(fieldname);
%dat_ch_sd_all(:,:,i) = data_sd_ch;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Time
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fprintf('\nTime\n');
fprintf('==================================================\n');
for j = 1:length(EEG.marks.time_info)
%just flags
x = length(find(EEG.marks.time_info(j).flags));
% All time
y = length(EEG.marks.time_info(j).flags);
disp(['Flagged: ' num2str((x/y)*100) ' % of Time for ' EEG.marks.time_info(j).label]);
end
%%%%%%%%%%%%%%%%%%
% Pie Chart Info %
%%%%%%%%%%%%%%%%%%
% outtask vs manual vs time remaining piechart
ca = length(EEG.marks.time_info(1).flags); % All time
co=length(marks_label2index(EEG.marks.time_info, ...
marks_match_label({'out_task','in_leadup'},{EEG.marks.time_info.label}), ...
'indices'));
mgap=length(marks_label2index(EEG.marks.time_info, ...
marks_match_label('mark_gap',{EEG.marks.time_info.label}), ...
'indices'));
chsd=length(marks_label2index(EEG.marks.time_info, ...
marks_match_label('ch_sd',{EEG.marks.time_info.label}), ...
'indices'));
lowr=length(marks_label2index(EEG.marks.time_info, ...
marks_match_label('low_r',{EEG.marks.time_info.label}), ...
'indices'));
icsd1=length(marks_label2index(EEG.marks.time_info, ...
marks_match_label('ic_sd1',{EEG.marks.time_info.label}), ...
'indices'));
icsd2=length(marks_label2index(EEG.marks.time_info, ...
marks_match_label('ic_sd2',{EEG.marks.time_info.label}), ...
'indices'));
cm=length(marks_label2index(EEG.marks.time_info, ...
marks_match_label('manual',{EEG.marks.time_info.label}), ...
'indices'));
cr = ca-cm; % Remaining All time
cpie = [cr co mgap chsd lowr icsd1 icsd2];
data_time = vertcat(data_time,cpie);
%%%%%%%%%%%%%%%%%%%%%
% Scatter Plot Info %
%%%%%%%%%%%%%%%%%%%%%
s='[sd_t_meth]';
sd_t_meth=strtrim(batch_config(1).replace_string{find(strncmp(batch_config(1).replace_string,s,length(s)))}(length(s)+2:end));
s='[sd_t_vals]';
sd_t_vals=batch_config(1).replace_string{find(strncmp(batch_config(1).replace_string,s,length(s)))}(length(s)+2:end);
s='[sd_t_o]';
sd_t_o=batch_config(1).replace_string{find(strncmp(batch_config(1).replace_string,s,length(s)))}(length(s)+2:end);
s='[sd_t_p]';
sd_t_p=batch_config(1).replace_string{find(strncmp(batch_config(1).replace_string,s,length(s)))}(length(s)+2:end);
%data_sd_t = load([EEG.filepath '/' base_name '_data_sd_t.mat']);
%fieldname = fieldnames(data_sd_t);
%fieldname = fieldname{1};
%data_sd_t = data_sd_t.(fieldname);
%dat_sd_t_all(:,:,i) = data_sd_t;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Components
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fprintf('\nICA Components\n');
fprintf('==================================================\n');
disp(['Identified ' num2str(min(size(EEG.icaweights))) ' components from ' num2str(length(EEG.icachansind)) ' channels']);
%%%%%%%%%%%%%%%%%%
% Pie Chart Info %
%%%%%%%%%%%%%%%%%%
ca = length(find(EEG.reject.classtype == 1));
c2 = length(find(EEG.reject.classtype == 2));
c3 = length(find(EEG.reject.classtype == 3));
c4 = length(find(EEG.reject.classtype == 4));
c5 = length(find(EEG.reject.classtype == 5));
c6 = length(find(EEG.reject.classtype == 6));
cpie = [ca c2 c3 c4 c5 c6];
ica_chans = vertcat(ica_chans,cpie);
%%%%%%%%%%%%%%%%%%%%%
% Scatter Plot Info %
%%%%%%%%%%%%%%%%%%%%%
%ic_sd1 time
%icaact_sd1_t = load([EEG.filepath '/' base_name '_icaact_sd1_t.mat']);
%fieldname = fieldnames(icaact_sd1_t);
%fieldname = fieldname{1};
%icaact_sd1_t = icaact_sd1_t.(fieldname);
%icaact_sd1_t_all(:,:,i) = icaact_sd1_t;
s='[sd_t_meth]';
sd_t_meth=strtrim(batch_config(3).replace_string{find(strncmp(batch_config(3).replace_string,s,length(s)))}(length(s)+2:end));
s='[sd_t_vals]';
sd_t_vals=batch_config(3).replace_string{find(strncmp(batch_config(3).replace_string,s,length(s)))}(length(s)+2:end);
s='[sd_t_o]';
sd_t_o=batch_config(3).replace_string{find(strncmp(batch_config(3).replace_string,s,length(s)))}(length(s)+2:end);
s='[sd_t_p]';
sd_t_p=batch_config(3).replace_string{find(strncmp(batch_config(3).replace_string,s,length(s)))}(length(s)+2:end);
%ic_sd2 time
if ~exist([EEG.filepath base_name '_icaact_sd2_t.mat'])
continue
end
%icaact_sd2_t = load([EEG.filepath '/' base_name '_icaact_sd2_t.mat']);
%fieldname = fieldnames(icaact_sd2_t);
%fieldname = fieldname{1};
%icaact_sd2_t = icaact_sd2_t.(fieldname);
%icaact_sd2_t_all(:,:,i) = icaact_sd2_t;
s='[sd_t_meth]';
sd_t_meth=strtrim(batch_config(7).replace_string{find(strncmp(batch_config(7).replace_string,s,length(s)))}(length(s)+2:end));
s='[sd_t_vals]';
sd_t_vals=batch_config(7).replace_string{find(strncmp(batch_config(7).replace_string,s,length(s)))}(length(s)+2:end);
s='[sd_t_o]';
sd_t_o=batch_config(7).replace_string{find(strncmp(batch_config(7).replace_string,s,length(s)))}(length(s)+2:end);
s= '[sd_t_p]';
s_t_p=batch_config(7).replace_string{find(strncmp(batch_config(7).replace_string,s,length(s)))}(length(s)+2:end);
end %% End of Calculating Statistics
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%% Beginning of Plots
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Mean and Sum Channel Breakdown
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%
% Pie Chart %
%%%%%%%%%%%%%
data_chan_m = mean(data_chans);
figure;
explode = [1 0 0 0];
labels = {'Remaining Channels','ch-sd','low-r','bridge'};
pie(data_chan_m,explode,labels); colormap(jet);
title('Data Channel Classification');
%%%%%%%%%%%%%
% Histogram %
%%%%%%%%%%%%%
figure; bar(data_chans,'stacked');
title('Data Channel Classification');
legend(labels);
set(gca,'XTick',[1:length(sub_names)]);
set(gca,'XTickLabel',sub_names);
rotatetl(gca,90,'b');
xlabel('Subject #');
ylabel('# of Channels');
x_pos = get(get(gca, 'XLabel'), 'Position');
set(get(gca, 'XLabel'), 'Position', x_pos + [0 -3 0]);
%%%%%%%%%%%%%%%%
% Scatter Plot %
%%%%%%%%%%%%%%%%
marks_array2flags(data_chans, ...
'flag_dim','row', ...
'init_method',sd_t_meth, ...
'init_vals',str2num(sd_t_vals), ...
'init_crit',str2num(sd_t_o), ...
'flag_method','fixed', ...
'flag_val',str2num(sd_t_p), ...
'plot_figs','on', ...
'title_prefix','SD time - ');
%% Mean and Sum Time Breakdown
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
mean_time = mean(data_time);
%%%%%%%%%%%%%
% Pie Chart %
%%%%%%%%%%%%%
figure;
explode = [1 0 0 0 0 0 0];
labels = {'Remaining Time','out-task','mark-gap','ch-sd','low-r','ic-sd1','ic-sd2'};
pie(mean_time,explode,labels); colormap(jet);
title('Mean Time Classification Breakdown across all Subjects');
%%%%%%%%%%%%%
% Histogram %
%%%%%%%%%%%%%
figure; bar(data_time,'stacked');
title('Mean Time Classification Breakdown for each Subject');
legend(labels);
set(gca,'XTick',[1:length(sub_names)]);
set(gca,'XTickLabel',sub_names);
rotatetl(gca,90,'b');
x_pos = get(get(gca, 'XLabel'), 'Position');
set(get(gca, 'XLabel'), 'Position', x_pos + [0 -3 0]);
xlabel('Subject #');
ylabel('# of Time Points');
y_lab = get(gca,'YTick');
set(gca,'YTickLabel',num2str(y_lab'));
%%%%%%%%%%%%%%%%
% Scatter Plot %
%%%%%%%%%%%%%%%%
marks_array2flags(data_time, ...
'flag_dim','col', ...
'init_method',sd_t_meth, ...
'init_vals',str2num(sd_t_vals), ...
'init_crit',str2num(sd_t_o), ...
'flag_method','fixed', ...
'flag_val',str2num(sd_t_p), ...
'plot_figs','on', ...
'title_prefix','SD time - ');
%% Mean Component Breakdown
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
ica_chan_m = mean(ica_chans);
%%%%%%%%%%%%%
% Pie Chart %
%%%%%%%%%%%%%
figure;
explode = [0 1 0 0 0 0];
labels = {'blink','neural','heart','lateye','muscle','mixed'};
pie(ica_chan_m,explode,labels); colormap(jet);
title('Component Classification Breakdown across all Subjects');
%%%%%%%%%%%%%
% Histogram %
%%%%%%%%%%%%%
figure; bar(ica_chans,'stacked');
title('Component Classification Breakdown for each Subject');
legend(labels);
set(gca,'XTick',[1:length(sub_names)]);
set(gca,'XTickLabel',sub_names);
rotatetl(gca,90,'b');
xlabel('Subject #');
ylabel('# of Components');
x_pos = get(get(gca, 'XLabel'), 'Position');
set(get(gca, 'XLabel'), 'Position', x_pos + [0 -3 0]);
%%%%%%%%%%%%%%%%
% Scatter Plot %
%%%%%%%%%%%%%%%%
marks_array2flags(ica_chans, ...
'flag_dim','col', ...
'init_method',sd_t_meth, ...
'init_vals',str2num(sd_t_vals), ...
'init_crit',str2num(sd_t_o), ...
'flag_method','fixed', ...
'flag_val',str2num(sd_t_p), ...
'plot_figs','on', ...
'title_prefix','SD ICA 1 - ');
%marks_array2flags(icaact_sd2_t_all, ...
% 'flag_dim','col', ...
% 'init_method',sd_t_meth, ...
% 'init_vals',str2num(sd_t_vals), ...
% 'init_crit',str2num(sd_t_o), ...
% 'flag_method','fixed', ...
% 'flag_val',str2num(sd_t_p), ...
% 'plot_figs','on', ...
% 'title_prefix','SD ICA 2 - ');
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