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plot_byDifferentBands.m
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176 lines (123 loc) · 7.62 KB
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function plot_byDifferentBands(dataOrganized, bandInd, lastLoopIndex, period, fieldIn, handles)
scrsz = handles.scrsz;
fig = figure('Name', ['EEG Bands #', num2str(bandInd), '/', num2str(lastLoopIndex)],...
'Position', [0.05*scrsz(3) 0.05*scrsz(4) 0.85*scrsz(3) 0.80*scrsz(4)], ...
'Color', 'w');
rows = 3;
cols = handles.bandsPerPlot;
% indices for difference
diffIndices =[1 2; ... % DARK - RED
1 3; ... % DARK - WHITE
2 3]; % RED - WHITE
diffLabel = {'Dark - RED'; ...
'Dark - WHITE'; ...
'Red - WHITE'};
for jj = 1 : cols
eegBandIndex = ((bandInd - 1)*cols) + jj;
%% DARK - RED
i = 1; % row
index = ((i-1)*cols) + jj;
sp(index) = subplot(rows,cols,index);
% get the difference
[mean, SD] = plot_calculateDifferenceSignal(dataOrganized{diffIndices(i,1)}, dataOrganized{diffIndices(i,2)}, period, eegBandIndex, fieldIn);
time = (linspace(0,length(mean),length(mean)))';
% plot
p = plot(time, mean, 'k', time, mean+SD, 'k', time, mean-SD, 'k');
set(p(2:3), 'Color', [.4 .4 .4])
titleStr = sprintf('%s\n%s\n%s\n', diffLabel{i}, ...
handles.eegBins.label{eegBandIndex}, ...
[num2str(handles.eegBins.freqs{eegBandIndex}(1)), '-', num2str(handles.eegBins.freqs{eegBandIndex}(2)), ' Hz']);
tit(index) = title(titleStr);
setLimits(sp(index), max(mean), min(mean), max(time), min(time), mean, handles)
if jj == 1
labY(i) = ylabel('Normalized power (to trial 1');
end
%% DARK - WHITE
i = 2; % row
index = ((i-1)*cols) + jj;
sp(index) = subplot(rows,cols,index);
% get the difference
[mean, SD] = plot_calculateDifferenceSignal(dataOrganized{diffIndices(i,1)}, dataOrganized{diffIndices(i,2)}, period, eegBandIndex, fieldIn);
time = (linspace(0,length(mean),length(mean)))';
% plot
p = plot(time, mean, 'k', time, mean+SD, 'k', time, mean-SD, 'k');
set(p(2:3), 'Color', [.4 .4 .4])
titleStr = sprintf('%s\n%s\n%s\n', diffLabel{i}, ...
handles.eegBins.label{eegBandIndex}, ...
[num2str(handles.eegBins.freqs{eegBandIndex}(1)), '-', num2str(handles.eegBins.freqs{eegBandIndex}(2)), ' Hz']);
tit(index) = title(titleStr);
setLimits(sp(index), max(mean), min(mean), max(time), min(time), mean, handles)
if jj == 1
labY(i) = ylabel('Normalized power (to trial 1');
end
%% Red - WHITE
i = 3; % row
index = ((i-1)*cols) + jj;
sp(index) = subplot(rows,cols,index);
% get the difference
[mean, SD] = plot_calculateDifferenceSignal(dataOrganized{diffIndices(i,1)}, dataOrganized{diffIndices(i,2)}, period, eegBandIndex, fieldIn);
time = (linspace(0,length(mean),length(mean)))';
% plot
p = plot(time, mean, 'k', time, mean+SD, 'k', time, mean-SD, 'k');
set(p(2:3), 'Color', [.4 .4 .4])
titleStr = sprintf('%s\n%s\n%s\n', diffLabel{i}, ...
handles.eegBins.label{eegBandIndex}, ...
[num2str(handles.eegBins.freqs{eegBandIndex}(1)), '-', num2str(handles.eegBins.freqs{eegBandIndex}(2)), ' Hz']);
tit(index) = title(titleStr);
setLimits(sp(index), max(mean), min(mean), max(time), min(time), mean, handles)
if jj == 1
labY(i) = ylabel('Normalized power (to trial 1');
end
labX(jj) = xlabel('Time [s]');
end
set(sp, 'FontName', handles.style.fontName, 'FontSize', handles.style.fontSizeBase-2)
set(tit, 'FontName', handles.style.fontName, 'FontSize', handles.style.fontSizeBase-1, 'FontWeight', 'bold')
set(labY, 'FontName', handles.style.fontName, 'FontSize', handles.style.fontSizeBase-2)
set(labX, 'FontName', handles.style.fontName, 'FontSize', handles.style.fontSizeBase-2)
% export to disk
try
if handles.figureOut_ON == 1
drawnow
dateStr = getDateString(); % get current date as string
%cd(path.outputFigures)
fileNameOut = sprintf('%s%s%s%s%s', 'EEG-Bands-defined_v', dateStr, '_', num2str(bandInd), '.png');
export_fig(fullfile(handles.path.figuresOut, fileNameOut), handles.figureOut_resolution, handles.figureOut_antialiasLevel, fig)
%cd(path.code)
end
catch
str = sprintf('%s\n%s', 'Crashing probably because you have not installed export_fig from Matlab File Exchange!', ...
'Download it from: http://www.mathworks.com/matlabcentral/fileexchange/23629-exportfig, and "File -> Set Path -> Add Folder"');
error(str)
end
function setLimits(sp, maxY, minY, maxX, minX, mean, handles)
% set(sp, 'YLim', [minY maxY])
set(sp, 'YLim', [-2 2])
line([minX maxX], [0 0], 'Color', 'r')
% annotate the mean +- sd of the vector
aver = nanmean(mean);
SD = nanstd(mean);
lims = get(gca, 'YLim');
minY = lims(1); maxY = lims(2);
t = text(0.99*maxX, 0.90*maxY, [num2str(aver,2), '\pm', num2str(SD,2)]);
set(t, 'HorizontalAlignment', 'right')
set(t, 'FontName', handles.style.fontName, 'FontSize', handles.style.fontSizeBase-2)
function [mean, SD] = plot_calculateDifferenceSignal(signal1, signal2, periodInd, eegBandIndex, fieldIn)
lengthOfData = length(signal1.bins);
% Prellocate
% signal1.meanVector = zeros(lengthOfData,1);
% signal1.sdVector = zeros(lengthOfData,1);
% signal2.meanVector = zeros(lengthOfData,1);
% signal2.sdVector = zeros(lengthOfData,1);
%signal1.bins{eegBandIndex}
%signal1.bins{eegBandIndex}.period{periodInd}
%signal1.bins{eegBandIndex}.period{periodInd}.ch
%signal1.bins{eegBandIndex}.period{periodInd}.ch.(fieldIn)
%signal1.bins{eegBandIndex}.period{periodInd}.ch.(fieldIn).aver
signal1.meanVector = signal1.bins{eegBandIndex}.period{periodInd}.ch.(fieldIn).aver;
signal1.sdVector = signal1.bins{eegBandIndex}.period{periodInd}.ch.(fieldIn).SD;
signal2.meanVector = signal2.bins{eegBandIndex}.period{periodInd}.ch.(fieldIn).aver;
signal2.sdVector = signal2.bins{eegBandIndex}.period{periodInd}.ch.(fieldIn).SD;
% DIFFERENCE
mean = signal1.meanVector - signal2.meanVector;
SD = sqrt(signal1.sdVector.^2 + signal2.sdVector.^2);
%pause