{"text": "function [position0,position,messages]= delineate3D(w1,w2,w3,intreg,timenew,position0,position,intervalo,position1,position2,position3,indexes,samp,sig,messages)\n%\n%\n% [position0,position,A,V,A2,V2]= delineate3D(w1,w2,w3,intreg,scale,timenew,position0,position,intervalo,position1,samp)\n% 3D multilead delineation of T wave\n%\n% Input Parameters:\n% w1: matrix with WT scales 1 to 5 for lead 1\n% w2: matrix with WT scales 1 to 5 for lead 2\n% w3: matrix with WT scales 1 to 5 for lead 1\n% intreg: interval to be considered in fitting the optimal direction\n% scale to use in delineation\n% timenew: QRS times in inedexes refering the interval included in the current excerpt (borders excluded)\n% position0: struct vector with the detected points for 3D multilead step1\n% position: struct vector with the detected points for 3D multilead step2\n% position1: struct vector with the detected points for lead1 - to be replaced for multilead marks\n% samp: samples included in the current excerpt (borders excluded)\n% intervalo: numeration of the beats processed in this segment\n%\n%Output Parameters:\n% actualized parameters: position, position0\n% A - points of fitted lines in step 1\n% A2 - points of fitted lines in step 2\n% V- vectors director to the fitted line\n% V2- vectors director to the fitted line\n%\n% Rute Almeida: trabalho de doutoramento 2.Dec.2004\n% Last update: 05AGO2011\n%\n% MATLAB Version 6.5.0.180913a (R13)\n\nglobal recursioncount OPT\nA=[];A2=[];\nV=[];V2=[];\nif isempty(sig)\n \nend\n% Aon=[];Von=[];\n% Vg=[];\n% if nargin==15\n% messages = new_empty_mesg;\n% end\nif ~isfield(messages.setup.wavedet,'rrant_mintol')\n messages.setup.wavedet.rrant_mintol = 0.5; % minimum time in sec admited for current RR to be used in T wave delineation or in Exponentially averaged RR\nend\nif ~isfield(messages.setup.wavedet,'rrant_maxtol')\n messages.setup.wavedet.rrant_maxtol = 1.5; % max time in sec admited for current RR to be used in Exponentially averaged RR\nend\nif ~isfield(messages.setup.wavedet,'rrant_average')\n messages.setup.wavedet.rrant_average = [0.8 0.2]; % Exponentially averaged RR weights\nend\nif ~isfield(messages.setup.wavedet,'scale')\n messages.setup.wavedet.scale=4;\nend\nif ~isfield(messages.setup.wavedet,'scale2')\n messages.setup.wavedet.scale2=5;\nend\nif ~isfield(messages.setup.wavedet,'T_CSE_tol')\n messages.setup.wavedet.T_CSE_tol=30.6*2/1000; % based on CSE tolerance\nend\nif ~isfield(messages.setup.wavedet,'Tconvergence_crit')\n messages.setup.wavedet.Tconvergence_crit=1; % 1 maks are acepted as the same if they difer by Tconvergence_crit\nend\n\nrrant_mintol=messages.setup.wavedet.rrant_mintol;\nrrant_maxtol=messages.setup.wavedet.rrant_maxtol;\nrrant_average=messages.setup.wavedet.rrant_average;\nscale=messages.setup.wavedet.scale;\nscale2=messages.setup.wavedet.scale2;\nTconvergence_crit=messages.setup.wavedet.Tconvergence_crit;\n\nintervalo=intervalo(1):intervalo(end);\n\nscalei=scale*ones(1,size(intreg,1));\nif ~isempty(w3)\n %scalei(sum([position1.Tscale(intervalo);position2.Tscale(intervalo);position3.Tscale(intervalo)]==5)>1)=5;\n %Rute 17Mar06\n aux=[(indexes(1,intervalo));(indexes(2,intervalo));(indexes(3,intervalo))];\n aux(1,~isnan(aux(1,:)))=position1.Tscale(aux(1,~isnan(aux(1,:))));\n aux(2,~isnan(aux(2,:)))=position2.Tscale(aux(2,~isnan(aux(2,:))));\n aux(3,~isnan(aux(3,:)))=position3.Tscale(aux(3,~isnan(aux(3,:))));\n scalei(sum(aux==5)>1)=5;\n %%%%%%\nelse\n scalei(sum([position1.Tscale(intervalo);position2.Tscale(intervalo)]==scale2)>1)=scale2;\nend\n\nfor i=1:size(intreg,1)\n\n if isnan(intreg(i,1))\n position.Tscale(intervalo(i))=NaN;\n position.Toff(intervalo(i))=NaN;\n position.T(intervalo(i))=NaN;\n position.Ttipooff(intervalo(i))=NaN;\n position.Ttipo(intervalo(i))=NaN;\n position.Tprima(intervalo(i))=NaN;\n position.Ton(intervalo(i))=NaN;\n position.Ttipoon(intervalo(i))=NaN;\n else\n\n scale=scalei(i);\n %marks taken as the last in the 3 leads\n\n aux2=find(~isnan(indexes(2,intervalo(i))));\n aux3=find(~isnan(indexes(3,intervalo(i))));\n S=max([position1.S(indexes(~isnan(indexes(1,intervalo(i))),intervalo(i))) position2.S(indexes(2*aux2,intervalo(i))) position3.S(indexes(3*aux3,intervalo(i))) ]-samp(1)+1);\n QRSoff=max([position1.QRSoff(indexes(~isnan(indexes(1,intervalo(i))),intervalo(i))) position2.QRSoff(indexes(2*aux2,intervalo(i))) position3.QRSoff(indexes(3*aux3,intervalo(i)))]-samp(1)+1);\n\n if ~isempty(w3)\n pontos=[w1(intreg(i,1):min(intreg(i,2),length(w1)),scale) w2(intreg(i,1):min(intreg(i,2),length(w2)),scale) w3(intreg(i,1):min(intreg(i,2),length(w3)),scale) ];\n else\n pontos=[w1(intreg(i,1):min(intreg(i,2),length(w1)),scale) w2(intreg(i,1):min(intreg(i,2),length(w2)),scale)];\n end\n weight=ones(size(pontos,1),1);\n [a,v] = optimline(pontos, weight,OPT);\n\n A=[A;a]; %#ok\n V=[V;v]; %#ok\n \n\n %4FEB2010\n if length(intervalo)>1\n rrant=position.qrs(intervalo(2))-position.qrs(intervalo(1));\n elseif intervalo(1)>1\n rrant=position.qrs(intervalo(1))-position.qrs(intervalo(1)-1);\n else\n rrant=messages.setup.wavedet.freq/2; %JUL2011\n end\n\n if (i>1),\n if (rrant_maxtol*rrant>(timenew(i)-timenew(i-1)))&&(timenew(i)-timenew(i-1)>rrant_mintol*rrant),\n rrmed = rrant_average(1)*rrant + rrant_average(2)*(timenew(i)-timenew(i-1));\n else\n rrmed = rrant; % Exponentially averaged RR\n end\n else % Only for the first in each segment of the ECG\n rrmed = rrant;\n end\n rrant = rrmed; %#ok % For next segment\n\n %WT projected: from the previous QRS complex to the following QRS complex\n if ~isempty(w3)\n if i\n% janelas1=janelas1+timenew(i)-1;\n position0.Tscale(intervalo(i))=scale;\n position0.Ton(intervalo(i))=pos.Ton;\n position0.Toff(intervalo(i))=pos.Toff;\n position0.T(intervalo(i))=pos.T;\n position0.Ttipo(intervalo(i))=pos.Ttipo;\n position0.Tprima(intervalo(i))=pos.Tprima;\n \n %position0.Wavedet(intervalo(i))=newleadbeat; % derivada wavedet Maikel 30 marzo 2009\n %position0.direccion(c)=V; % vector direcci�n Maikel 30 marzo 2009\n %pontos2=[w1(picoff:intreg(i,2),scale) w2(picoff:intreg(i,2),scale) w3(picoff:intreg(i,2),scale) ];\n\n if ~isnan(picoff)\n if picoff>(intreg(i,2)-1)\n messages.warnings=[messages.warnings {'Tend out of the searching interval, in the fist step of multilead!'}];\n position.Tscale(intervalo(i))=NaN;\n position.Toff(intervalo(i))=NaN;\n position.T(intervalo(i))=NaN;\n position.Ttipooff(intervalo(i))=NaN;\n position.Ttipo(intervalo(i))=NaN;\n position.Tprima(intervalo(i))=NaN;\n recursioncount.Toff(intervalo(i))=NaN;\n position.contadorToff(intervalo(i))=NaN; %Rute\n else\n if (pos.Toff-samp(1)+1)==picoff\n endaux=min([(position0.Toff(intervalo(i))-samp(1)+1+round(messages.setup.wavedet.T_CSE_tol*messages.setup.wavedet.freq)) length(w1)]); %3JUL\n\n else\n endaux=min([intreg(i,2) (position0.Toff(intervalo(i))-samp(1)+1+messages.setup.wavedet.T_CSE_tol*messages.setup.wavedet.freq) ]);\n end\n if ~isempty(w3)\n pontos2=[w1(picoff:endaux,scale) w2(picoff:endaux,scale) w3(picoff:endaux,scale)];\n %pontos2=[w1(janelas1(2):janelas1(3),scale) w2(janelas1(2):janelas1(3),scale) w3(janelas1(2):janelas1(3),scale)];\n else\n pontos2=[w1(picoff:endaux,scale) w2(picoff:endaux,scale)];\n end\n weight2=ones(size(pontos2,1),1);\n [a,v] = optimline(pontos2, weight2,OPT);\n A2=[A2;a]; %#ok\n V2=[V2;v]; %#ok\n if ~isempty(w3)\n if i\n% janelasnew=janelas2+timenew(i)-1;\n picoffall=[picoff picoff2];\n if isnan(picoff2)\n amppicoffall=[abs(newleadbeat(picoff-timenew(i)+1)) NaN];\n else\n amppicoffall=[abs(newleadbeat(picoff-timenew(i)+1)) abs(newleadbeat2(picoff2-timenew(i)+1))];\n end\n newToff=[position0.Toff(intervalo(i)) pos.Toff];\n\n if (amppicoffall(end)Tconvergence_crit) && (amppicoffall(end)>amppicoffall(end-1))\n position.contadorToff(intervalo(i))=position.contadorToff(intervalo(i))+1;\n %maxTintervalend=maxTintervalend; % teste 14\n if (pos.Toff-samp(1)+1)==picoff\n endaux=(pos.Toff-samp(1)+1+round(messages.setup.wavedet.T_CSE_tol*messages.setup.wavedet.freq));\n else\n endaux=min([intreg(i,2) (pos.Toff-samp(1)+1+round(messages.setup.wavedet.T_CSE_tol*messages.setup.wavedet.freq))]);\n end\n if ~isempty(w3)\n pontosnew=[w1(picoffall(end):endaux,scale) w2(picoffall(end):endaux,scale) w3(picoffall(end):endaux,scale)];\n %pontosnew=[w1(picoff(end):endaux,scale) w2(picoff(end):endaux,scale) w3(picoff(end):endaux,scale)];\n %pontosnew=[w1(janelasnew(2):janelasnew(3),scale) w2(janelasnew(2):janelasnew(3),scale) w3(janelasnew(2):janelasnew(3),scale)];\n else\n pontosnew=[w1(picoffall(end):endaux,scale) w2(picoffall(end):endaux,scale)];\n end\n\n if size(pontosnew,1)>1\n weightnew=ones(size(pontosnew,1),1);\n [a,v] = optimline(pontosnew, weightnew,OPT);\n% if i==6\n% title([ecgnr '(Tend-step' num2str(2+position.contadorToff(intervalo(i)))')'])\n% else\n% close\n% end\n A2=[A2;a]; %#ok\n V2=[V2;v]; %#ok\n if ~isempty(w3)\n if i\n% janelasnew=janelas2+timenew(i)-1;\n else\n picoffnew=NaN;\n end\n picoffall=[picoffall picoffnew]; %#ok\n if isnan(picoffnew)\n amppicoffall=[amppicoffall NaN]; %#ok\n else\n amppicoffall=[amppicoffall abs(newleadbeatnew(picoffnew-timenew(i)+1))]; %#ok\n end\n newToff=[newToff pos.Toff]; %#ok\n\n if (amppicoffall(end)