function make_feature_filter_respiratory_signals_plot % make_feature_filter_respiratory_signals_plot creates the plot of respiratory % signals of the PPG extracted using feature- and filter-based techniques % % make_feature_filter_respiratory_signals_plot % % This file creates the image originally published in: % Charlton P.H. et al. Extraction of respiratory signals from the % electrocardiogram and photoplethysmogram: technical and physiological % determinants, Physiological Measurement, 38(5), 2017 % DOI: https://doi.org/10.1088/1361-6579/aa670e % Please cite this publication when using this image. % % Output: % a PNG image in the same folder as this script % % Comments, Questions, Criticisms, Feedback, Contributions: % See: http://peterhcharlton.github.io/RRest/contributions.html % % Licence: % please see the accompanying file named "LICENSE" % %% Settings resp_sigs_to_plot = {'feature', 'filter'}; %% Load data sig.t = 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%% make plot close all lwidth = 3; ftsize = 14; t_start = 199.765; t_end = t_start + 15; paper_size = [50, 50, 800, 400]./100; h_fig = figure('Position',paper_size*100); subplot('Position', [0.05, 0.17, 0.72, 0.8]) set(gcf,'color','w'); color = get(h_fig,'Color'); plot(sig.t-t_start, sig.v, 'LineWidth', lwidth, 'Color', [0.25 0.2 1]), hold on if sum(strcmp(resp_sigs_to_plot, 'feature')) plot(pks.t-t_start, pks.v, '.-k', 'LineWidth', lwidth+3, 'MarkerSize', 35) plot(pks.t-t_start, pks.v, '.-r', 'LineWidth', lwidth-1, 'MarkerSize', 25) end if sum(strcmp(resp_sigs_to_plot, 'filter')) plot(bpf.t-t_start, bpf.v, 'k', 'LineWidth', lwidth+3) plot(bpf.t-t_start, bpf.v, 'y', 'LineWidth', lwidth) end plot(ref_resp.t-t_start, ref_resp.v, 'k', 'LineWidth', lwidth+3) xlabel('Time [s]', 'FontSize', ftsize) set(gca, 'YTick', [], 'FontSize', ftsize) xlim([0, t_end-t_start]) rel_els = sig.t >= t_start & sig.t<= t_end; rel_els2 = ref_resp.t >= t_start & ref_resp.t<= t_end; ylim([min(sig.v(rel_els))-0.1*range(sig.v(rel_els)), max(ref_resp.v(rel_els2))+0.1*range(sig.v(rel_els))]) box off set(gca, 'XTick', 0:5:20) % Make annotations dim = [.8 .75 .2 .2]; str = {'Reference', 'respiratory signal'}; annotation('textbox',dim,'String',str,'LineStyle', 'none', 'FontSize', ftsize); if sum(strcmp(resp_sigs_to_plot, 'feature')) dim = [.8 .55 .2 .2]; str = {'Feature-based', 'respiratory signal'}; annotation('textbox',dim,'String',str,'LineStyle', 'none', 'FontSize', ftsize, 'Color', 'r'); end if sum(strcmp(resp_sigs_to_plot, 'filter')) dim = [.8 .3 .2 .2]; if sum(strcmp(resp_sigs_to_plot, 'feature')) str = {'Filter-based', 'respiratory signal'}; else str = {'Extracted' 'respiratory signal'}; end annotation('textbox',dim,'String',str,'LineStyle', 'none', 'FontSize', ftsize, 'Color', [0.4 0.4 0.1]); end dim = [.8 .1 .2 .2]; str = {'PPG'}; annotation('textbox',dim,'String',str,'LineStyle', 'none', 'FontSize', ftsize, 'Color', 'b'); % Setup paper dimensions set(h_fig,'PaperUnits','inches'); set(h_fig,'PaperSize', [paper_size(3), paper_size(4)]); set(h_fig,'PaperPosition',[0 0 paper_size(3) paper_size(4)]); %% Commands to save figure % Setup file path [folder, ~, ~] = fileparts(mfilename('fullpath')); savepath = [folder, filesep, 'resp_sigs']; % PNG print(h_fig,'-dpng',savepath) % SVG print(h_fig, '-dsvg', savepath) % PDF % print(h_fig,'-dpdf',savepath) % EPS % I found that using the save command on the figure window worked best. end