/
LogInspector.m
50 lines (32 loc) · 1.17 KB
/
LogInspector.m
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% EEG data visualization / inspection
% Load data
path = 'EEGData/';
% fileName = 'log17-03-2017 11-41-04.csv'; % 90%
% fileName = 'log17-03-2017 12-53-35.csv'; % flawless
% fileName = 'log17-03-2017 13-09-47.csv'; % 91%
% fileName = 'log17-03-2017 13-22-53.csv'; %
fileName = 'log20-03-2017 10-49-09.csv'; %
tableData = readtable([path fileName]);
colNames = tableData.Properties.VariableNames;
disp(colNames);
disp(sprintf('%d blocks', numel(tableData{:,'blockSize'})));
%% Timing
plot(tableData{:, 'bufferTimeStamp_end_'}, 'o');
timeStamps = tableData{:, 'timeStamp_end_'};
timeDiff = [];
i = 2;
for i=2:numel(timeStamps)
timeDiff(i-1) = (timeStamps(i) - timeStamps(i-1))*1000;
end
hist(timeDiff);
%% Duration of loop
subplot(2,1,1); plot(tableData{:,'updateDuration'});
set(gca, 'YScale','log');
subplot(2,1,2); plot(tableData{:,'blockSize'});
%%
blockSizes = tableData{:,'blockSize'};
%bufferBlockSizes = tableData{:,'bufferBlockSize'};
[counts, centers] = hist(blockSizes, [32 64 96]);
bar(centers, counts/sum(counts));
title(sprintf('Histogram of %d blocks', numel(tableData{:,'blockSize'})));
xlabel('Block size');