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百度如何注册公司网站,h5微信网站开发,营业执照网上申请,请网站建设的人多少钱✅作者简介#xff1a;热爱科研的Matlab仿真开发者#xff0c;修心和技术同步精进#xff0c;matlab项目合作可私信。 #x1f34e;个人主页#xff1a;Matlab科研工作室 #x1f34a;个人信条#xff1a;格物致知。 ⛄ 内容介绍 PPG是一种新兴的光学技术#xff0c;用… ✅作者简介热爱科研的Matlab仿真开发者修心和技术同步精进matlab项目合作可私信。 个人主页Matlab科研工作室 个人信条格物致知。 ⛄ 内容介绍 PPG是一种新兴的光学技术用于检测心脏引起的血容量变化在身体周边部位的微血管床如手指、前额、耳垂和脚趾。这项技术是基于使用一个光学传感器向皮肤发射光然后接收透射或反射的光、接收透射或反射的光。 因此PPG检测由心血管系统产生的活动这些活动是通过自律神经系统介导的。通过自律神经系统。PPG信号是前向传播的和反射的血容量波的总和。 根据朗伯-比尔定律PPG信号与血液的光吸收率和 与血液对光的吸收率相关并代表血容量的变化。PPG信号的交流成分 PPG信号的交流成分与动脉内的血量变化有关并与心跳同步。 在这方面PPG信号融合了关于心脏周期和血液传输的宝贵信息。因此这种技术代表了一种有前途的、低成本的技术可以 应用于心血管监测的各个方面如检测血氧饱和度、心率、血压、心输出量、呼吸、血管评估、动脉顺应性、动脉老化、内皮功能、静脉评估、微血管血流、自律神经等功能。 ⛄ 部分代码 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %         PPG Feature Extraction % Function Name: % Last update date: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %PPG Feature Point Name %PPG : O S N D %VPG : w y z %APG : a b c d e %% Turotial 2 : Start Here %set the search path for the subfunction addpath(genpath(pwd)); pwd; clc; close all; %% flag flag_plot_figure 1; %% initialization variable error_code 0; sample_time 0.001; %sencond %% %%%%%%%%%%%%%%%%%%%%%%%% Code Area %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Signal Data Index----change as your data path path.data .\DATA\; path.output .\OUTPUT\; path.T3_data ..\T3_Classification\DATA\; path.subject_info .\DATA\subject_info\; D dir(.\DATA\*.txt); disp(length(D)); delete([path.output BP_PPG_Feature_dataset.csv]); delete([path.output BP_PPG_discard_record.csv]); for subject_index 1:1:length(D)     disp(subject_index);     error_code 0;     filename D(subject_index).name;     [subject.num,wavedata] load_wave(path.data,filename);     subject_data load([path.subject_info PPG_BP.txt]);     [error_code,subject.info] read_subject_info(error_code,subject.num,subject_data);     wave.ppg_raw zscore(wavedata);     %% Filtering PPG signal     [wave.ppg,filter_SOS] filter_home_bandpass(wave.ppg_raw,1,2,1000,0.5,10);     %% Calculate SQI     S_SQI_ppg ppg_sqi(wave.ppg);     [SQI_max_ppg,SQI_window_ppg] ppg_window_sqi(wave.ppg);     [SQI_max_ppg,Index_ppg] max(SQI_window_ppg);     %% vpg, apg, 3rd, 4th     [wave.vpg,wave.apg,wave.third,wave.fourth] multi_derivative(wave.ppg);     wave.vpg zscore(wave.vpg);     wave.apg zscore(wave.apg);     wave.third zscore(wave.third);     wave.fourth zscore(wave.fourth);     %% PPG Feature point extraction     [error_code,Loc.PPG,Loc.VPG,Loc.APG] ppg_point_extraction(error_code,wave.ppg,wave.vpg,wave.apg,wave.third); %If you have done this step, you can establish your model to classification or prediction next step.  %Please put the dataset file to the T3_Classification\DATA folder. %If you want to watch or check the extracted PPG point, you can set flag_plot_figure to be 1 in the start of code.      %% watch the waveform and SQI value     if flag_plot_figure 1         if error_code 0             plot_multi(subject_index,2,3);             n 1:1:length(wave.ppg);             plot(n*sample_time,wave.ppg,k,n*sample_time,wave.vpg,b,n*sample_time,wave.apg,r,...                 ...%n*sample_time,wave.third,m,...                 ...%n*sample_time,wave.fourth,c,...                 Loc.PPG*sample_time,wave.ppg(Loc.PPG),*r,...                 Loc.VPG*sample_time,wave.vpg(Loc.VPG),*r,...                 Loc.APG*sample_time,wave.apg(Loc.APG),*r);             legend(PPG,VPG,APG);             axis([0 length(wave.ppg)*sample_time -5 5]);             title(subject.num);             text(0,4.5,SQI);             text(0,4,num2str(SQI_max_ppg));             text(0.5,4.5,AGE);             text(0.5,4,num2str(subject.info(3))); %age             text(1,4.5,SBP);             text(1,4,num2str(subject.info(6))); %SBP             text(1.25,4.5,DBP);             text(1.25,4,num2str(subject.info(7))); %SBP             text(0,-4,PASS);             text(0,-4.5,num2str(error_code));             %%show the PPG points             text(Loc.PPG(1)*sample_time,wave.ppg(Loc.PPG(1)),O);             text(Loc.PPG(2)*sample_time,wave.ppg(Loc.PPG(2)),S);             text(Loc.PPG(3)*sample_time,wave.ppg(Loc.PPG(3)),N);             text(Loc.PPG(4)*sample_time,wave.ppg(Loc.PPG(4)),D);             text(Loc.PPG(5)*sample_time,wave.ppg(Loc.PPG(5)),O2);             text(Loc.PPG(6)*sample_time,wave.ppg(Loc.PPG(6)),S2);             text(Loc.VPG(1)*sample_time,wave.vpg(Loc.VPG(1)),w);             text(Loc.VPG(2)*sample_time,wave.vpg(Loc.VPG(2)),y);             text(Loc.VPG(3)*sample_time,wave.vpg(Loc.VPG(3)),z);             text(Loc.VPG(4)*sample_time,wave.vpg(Loc.VPG(4)),w2);             text(Loc.APG(1)*sample_time,wave.apg(Loc.APG(1)),a);             text(Loc.APG(2)*sample_time,wave.apg(Loc.APG(2)),b);             text(Loc.APG(3)*sample_time,wave.apg(Loc.APG(3)),c);             text(Loc.APG(4)*sample_time,wave.apg(Loc.APG(4)),d);             text(Loc.APG(5)*sample_time,wave.apg(Loc.APG(5)),e);             text(Loc.APG(6)*sample_time,wave.apg(Loc.APG(6)),a2);             text(Loc.APG(7)*sample_time,wave.apg(Loc.APG(7)),b2);             xlabel(t/s);             ylabel(Normalized value);             grid on;             hold on;         else             plot_multi(subject_index,2,3);             n 1:1:length(wave.ppg);             plot(n*sample_time,wave.ppg_raw,k,n*sample_time,wave.ppg,k,...                 n*sample_time,wave.vpg,b,n*sample_time,wave.apg,r,...                 n*sample_time,wave.third,m,n*sample_time,wave.fourth,c);             legend(PPG,VPG,APG);             axis([0 length(wave.ppg)*sample_time -5 5]);             title(subject_num);             text(0,4.5,SQI);             text(0,4,num2str(SQI_max_ppg));             text(0.5,4.5,AGE);             text(0.5,4,num2str(subject.info(3))); %age             text(1,4.5,SBP);             text(1,4,num2str(subject.info(6))); %SBP             text(1.25,4.5,DBP);             text(1.25,4,num2str(subject.info(7))); %SBP             text(0,-4,FAIL);             text(0,-4.5,num2str(error_code));             xlabel(t/s);             ylabel(Normalized value);             grid on;             hold on;         end     end end % Finish to extract ppg feature %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% Turotials 2 : Stop Here ⛄ 运行结果 ⛄ 参考文献 1 Elgendi, M. On the analysis of fingertip photoplethysmogram signals. Current cardiology reviews 8, 14-25 (2012). 2 Alian, A. A. Shelley, K. H. Photoplethysmography: Analysis of the Pulse Oximeter Waveform. 165-178, doi:10.1007/978-1-4614-8557-5_19 (2014). 3 Shelley, K. H. Photoplethysmography: beyond the calculation of arterial oxygen saturation and heart rate. Anesthesia and analgesia 105, S31-36, tables of contents, doi:10.1213/01.ane.0000269512.82836.c9 (2007). 4 Alian, A. A. Shelley, K. H. Photoplethysmography. Best practice research. Clinical anaesthesiology 28, 395-406, doi:10.1016/j.bpa.2014.08.006 (2014). 5 Allen, J. Murray, A. Age-related changes in peripheral pulse timing characteristics at the ears, fingers and toes. Journal of human hypertension 16, 711-717, doi:10.1038/sj.jhh.1001478 (2002). 6 Murray, J. A. a. A. Age-related changes in the characteristics of the photoplethysmographic pulse shape at various body sites. Physiological measurement, 24, 297-307 (2003). ⛳️ 完整代码 ❤️部分理论引用网络文献若有侵权联系博主删除 ❤️ 关注我领取海量matlab电子书和数学建模资料
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