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Hume-1.0a/coreFunctions/importFunctions/convertScores_BrownTASCI.m
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function [scorer id cond outname outfile stageData] = convertScores_BrownTASCI(file,srate) | ||
% [scorer id cond outname outfile stageData] = convertScores_BrownTASCI(file,srate) | ||
% | ||
% Function to convert sleep stage data from VITASCORE TASCI to a stageData | ||
% struct for Húmë processing (e.g. a plotSleepStats call) | ||
% | ||
% Inputs (Required) | ||
% | ||
% file (string) ? Name of TASCI file | ||
% | ||
% Inputs (Optional) | ||
% | ||
% srate ? Sampling rate of the scored data (default: 200 Hz) | ||
% | ||
% Outputs: | ||
% | ||
% scorer, id, cond, outname, outfile ? meta-information for saving | ||
% data. | ||
% | ||
% stageData ? converted stageData .mat file for Húmë processing | ||
% | ||
%% Copyright (c) 2015 Jared M. Saletin, PhD and Stephanie M. Greer, PhD | ||
% | ||
% This file is part of Húmë. | ||
% | ||
% Húmë 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 3 of the License, or (at your | ||
% option) any later version. | ||
% | ||
% Húmë 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 Húmë. If not, see <http://www.gnu.org/licenses/>. | ||
% | ||
% Húmë is intended for research purposes only. Any commercial or medical | ||
% use of this software is prohibited. The authors accept no | ||
% responsibility for its use in this manner. | ||
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%% Check inputs | ||
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if nargin == 2 | ||
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savename = file(1:end-6); | ||
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elseif nargin==1 | ||
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srate = 200; | ||
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elseif nargin==0 | ||
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stageData={'Brown *.TASCI','.TASCI','convertScores_BrownTASCI'}; | ||
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scorer=[]; | ||
id = []; | ||
cond = []; | ||
outname = []; | ||
outfile = []; | ||
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return | ||
end | ||
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%% META DATA | ||
[path, fileName, fileExt] = fileparts(file); | ||
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mkdir([path,'/',fileName]); | ||
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if isletter(fileName(3)) | ||
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scorer = fileName(1:3); | ||
trimmedName = fileName(4:end); | ||
else | ||
scorer = fileName(1:2); | ||
trimmedName = fileName(3:end); | ||
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end | ||
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id = trimmedName(1:min(find(isletter(trimmedName)))-2); | ||
cond = trimmedName(min(find(isletter(trimmedName))):end); | ||
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outname = [path,'/',fileName,'/',fileName]; | ||
outfile = fileName; | ||
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savename = [outname,'_scores']; | ||
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%% PARSE 11 LINE HEADER | ||
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fid = fopen(file); | ||
header = textscan(fid,'%s\t%s\t%s\t%s',11,'delimiter','|'); | ||
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scoringFile = file; | ||
EDFName = header{1,2}{2,1}; | ||
recDate = header{1,2}{3,1}; | ||
recStart = header{1,2}{4,1}; | ||
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win = str2num(header{1,4}{11,1}); | ||
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head = [char(header{1}) char(header{2}) char(header{3}) char(header{4})]; | ||
stageData.Notes = head; | ||
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%% READ STAGE DATA | ||
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data = textscan(fid,'%d\t%d\t%d\t%d\t%s\t%s\t%s\t%s','Delimiter','|','headerlines',6); | ||
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%% FIX NEW TASCIS | ||
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if strcmp(data{1,7}{2},'') | ||
stageString = data{1,7}(1:2:end); | ||
times = data{1,5}(1:2:end); | ||
eventMarks = data{1,6}(1:2:end); | ||
else | ||
stageString = data{1,7}; | ||
times = data{1,5}; | ||
eventMarks = data{1,6}; | ||
end | ||
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%% SetUp Events | ||
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stageData=eventSetup(stageData,length(stageString)); | ||
LUT = eventLUT; | ||
lightsOffFound = 0; | ||
lightsOnFound = 0; | ||
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for i = 1:length(eventMarks) | ||
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LOffEv =[]; | ||
LOnEv = []; | ||
BkmkEv = []; | ||
%Check if empty | ||
if ~isempty(eventMarks{i}) | ||
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separated = strsplit(eventMarks{i},', '); | ||
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% FIND LIGHTS OFF | ||
if sum(ismember(separated,'Lights Off'))>0; | ||
if lightsOffFound==1 | ||
warning('Found Duplicate Lights Off. Last is used, Check Scored File to Confirm'); | ||
end | ||
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LOffEv = find(ismember(separated,'Lights Off')); | ||
lightsOffFound = 1; | ||
epLightsOff = i; | ||
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% FIND LIGHTS ON | ||
elseif sum(ismember(separated,'Lights On'))>0; | ||
if lightsOnFound==1 | ||
warning('Found Duplicate Lights On. Last Is Used, Check Scored File to Confirm'); | ||
end | ||
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LOnEv = find(ismember(separated,'Lights On')); | ||
lightsOnFound = 1; | ||
epLightsOn = i; | ||
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end | ||
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% FIND OTHER EVENTS | ||
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for ev = 1:size(LUT,1); | ||
if sum(ismember(separated,LUT{ev,1}))>=1 | ||
stageData.eventMat(i,ev)=sum(ismember(separated,LUT{ev,1})); | ||
end | ||
end | ||
end | ||
end | ||
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%% SetUp Stage Data | ||
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stages = NaN(length(stageString),1); | ||
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% Set Stages from Staged Array | ||
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for Ep = 1:length(stages) | ||
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Str = stageString{Ep}; | ||
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switch Str | ||
case 'Undefined' | ||
stages(Ep)=7; | ||
case 'Awake' | ||
stages(Ep)=0; | ||
case 'Wake' | ||
stages(Ep)=0; | ||
case '1' | ||
stages(Ep)=1; | ||
case 'N1' | ||
stages(Ep)=1; | ||
case '2' | ||
stages(Ep)=2; | ||
case 'N2' | ||
stages(Ep)=2; | ||
case '3' | ||
stages(Ep)=3; | ||
case 'N3' | ||
stages(Ep)=3; | ||
case '4' | ||
stages(Ep)=4; | ||
case 'REM' | ||
stages(Ep)=5; | ||
case 'MVT' | ||
stages(Ep)=6; | ||
end | ||
end | ||
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stageData.stages = stages; | ||
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stageData.win = win; % PULL FROM HEADER | ||
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stageData.recStart = datenum(recStart,'HH:MM:SS'); % PULL FROM HEADER | ||
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%epLightsOff = find(ismember(eventMarks, 'Lights Off')==1); | ||
stageData.lightsOFF = datenum(times(epLightsOff),'HH:MM:SS'); | ||
%epLightsOn = find(ismember(eventMarks, 'Lights On')==1); | ||
stageData.lightsON = datenum(times(epLightsOn),'HH:MM:SS'); | ||
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%Add a day to the time if it looks like lights on happened before the | ||
%record start. | ||
if(~(stageData.recStart < stageData.lightsON)) | ||
stageData.lightsON = stageData.lightsON + 1; | ||
end | ||
%Add a day to the time if it looks like lights off happened before the | ||
%record start. | ||
if(~(stageData.recStart < stageData.lightsOFF)) | ||
stageData.lightsOFF = stageData.lightsOFF + 1; | ||
end | ||
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stageData.srate = srate; | ||
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stageData.stageTime = (0:(size(stageData.stages, 1) - 1))./(60/stageData.win); | ||
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% stageData.onsets | ||
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scoredEps = find(stageData.stages ~=7); | ||
firstScoredEp = scoredEps(1); | ||
lastScoredEp = scoredEps(end); | ||
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stageData.onsets = zeros(length(stageData.stages), 1); | ||
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for i = firstScoredEp:lastScoredEp | ||
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stageData.onsets(i) = ((i-1)*stageData.win*stageData.srate)+1; | ||
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end | ||
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%% Save | ||
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save(savename,'stageData'); | ||
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end | ||
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% %get only the data that is scored | ||
% | ||
% for i = 1:6 | ||
% inds = find(stages(:, 1) == i); | ||
% totalTime(i) = sum((onsets(inds)/stageData.srate + stageData.win)); | ||
% end | ||
% | ||
% perTime = totalTime(1:5)./sum(totalTime(1:5)); | ||
% | ||
% figure; | ||
% | ||
% subplot(1, 2, 1) | ||
% bar(totalTime/60) | ||
% title('Total Time') | ||
% set(gca, 'XTick', 1:6, 'XTickLabel', {'1'; '2'; '3'; '4'; 'REM'; 'Wake'}) | ||
% ylabel('Minutes') | ||
% xlim([.5, 6.5]) | ||
% | ||
% subplot(1, 2, 2) | ||
% bar(perTime) | ||
% title('Percentage of Sleep') | ||
% set(gca, 'XTick', 1:5, 'XTickLabel', {'1'; '2'; '3'; '4'; 'REM'}) | ||
% ylabel('% of sleep') | ||
% xlim([.5, 5.5]) |
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