%% This model incorporates the Hai-Murphy crossbridge ODEs to the BG-AW-heterogeneity %% model being developed. function [t,NN,air,U,UVDOT,VVDOT, summ,force,phosphorylation]=coup(order,kappa)%,rinitial) tic numBr = 2^order - 1; % number of airways numOrd1 = (numBr+1)/2; % initial values for airways (mm) rimax = [0.296 0.318 0.337 0.358 0.384 0.414 0.445 0.484 0.539 0.608 ... 0.692 0.793 0.913 1.052 1.203 1.374]; % rinitial=[]; % for k=1:order % rinitial=[rinitial;rimax(k)*ones(2.^(order-k),1)]; % end % rinitial=rinitial+0.01*rand(1,length(rinitial))'; % peturbation of rinitial M = 1; Mp = 0; AMp = 0; AM = 0; RR0= [M; Mp; AMp; AM]; r(:,1)=rinitial; %airways, order 1 : order n uv(:,1) = zeros(numBr,1); % pressure in airway vv(:,1) = zeros(numBr,1); % airflow within the airway vds(:,1) = zeros((numBr+1)/2,1); % airflow entering alveoli RR(:,1) = RR0; y0 = [r(:,1); uv(:,1); vv(:,1); vds(:,1); RR(:,1)]; %ICs vector parm = [kappa]; tspan = [0 100]; % Set numerical accuracy options for ODE solver options = odeset('RelTol', 1e-08, 'AbsTol', 1e-08, 'MaxStep', 0.01); [t,NN]=ode15s(@(t,y) seven_airway(t,y,order,parm), tspan, y0, options); U = zeros(length(NN),length(r)); % pressure including viscous damping UVDOT = zeros(length(NN),length(r)); VVDOT = zeros(length(NN),length(r)); %airflow for j = 1:length(NN) [U(j,:),UVDOT(j,:),VVDOT(j,:),force(j,:),phosphorylation(j,:)] = seven_airway2(t(j),NN(j,:),order,parm); end toc CM=jet(length(rinitial)); r_new = NN(:,1:numBr); for i=1:length(rinitial) if r_new(end,i) <= 0.01 air(i)=0; else air(i)=1; end end for i = 1:(numOrd1) figure(1); subplot(4,2,i); plot(t,r_new(:,i)) title(sprintf('Radius in airway {%d}',i)) figure(2); subplot(4,2,i); plot(t,VVDOT(:,i)) title(sprintf('Flow in airway {%d}',i)) figure(3); subplot(4,2,i); plot(t,U(:,i)) title(sprintf('Pressure of airway {%d}',i)) end % % % % legendStr = cell(1,length(rinitial)); for i = 1:length(legendStr) legendStr{i} = sprintf('r_{%d}',i); end % legend(legendStr,'Location','BestOutside'); %% Measure for state of heterogeniety x = cell(1,numOrd1); for i = 1:length(x) x{i} = air(i); end summ = zeros(1,length(x{1})); for i = 1:length(x) switch i case 1 neighbour_diff = sqrt((x{i} - x{end}).^2 + (x{i} - x{i+1}).^2); case length(x) neighbour_diff = sqrt((x{i} - x{i-1}).^2 + (x{i} - x{1}).^2); otherwise neighbour_diff = sqrt((x{i} - x{i-1}).^2 + (x{i} - x{i+1}).^2); end summ = summ + neighbour_diff; end summ=summ./(2^(order-3)*4*sqrt(2)); % %% graphing airways node1 = zeros(1,numBr); node2 = zeros(1,numBr); % e.g. for an order 4: node1 = [1 2 2 3 3 4 4 5 5 6 6 7 7 8 8]; node1(1) = 1; for i = 1:(numBr-1)/2 node1(2*i:2*i+1) = [i+1 i+1]; end % e.g. for an order 4: node2 = [2 3 4 5 6 7 8 9 10 11 12 13 14 15 16]; for i = 1:numBr node2(i) = i+1; end ind = zeros(1,numBr); for i = 1:numBr ind(i) = i; end figure, A=[fliplr(air)]; figure(4); G = graph(node1,node2,A); h=plot(G,'LineWidth',2); h.EdgeCData=A; labelnode(h,[node1 node2],'') labeledge(h,ind,G.Edges.Weight(ind)); colormap jet % for i = 1:8 % subplot(4,2,i); % plot(time,VVDOT(:,i)) % title(sprintf('Flow of airway {%d}',i)) % end