Muhammad Nadzeri Munawar
161 linhas
5.1 KiB
Matlab
161 linhas
5.1 KiB
Matlab
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%Author : Muhammad Nadzeri Munawar
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%
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%
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%This code is to create absolute_power variable of subject no. 20 such as :
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%delta, theta, alpha, beta, gamma with shape 32x5x40. 32 mean total of
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%channel, 5 mean total absolute power, 40 mean 40 trial
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%
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% project_path -> 'D:\TUGAS AKHIR\Progress\24. (08-12-2015)'
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% method -> swt;ica_swt
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% subject -> [2,4,6,7,8,9,10,13,15,16,21,25,26,28,29,30];
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% channel -> [2,3,4,5,6,7,8,14];
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% fb -> 1.A5;2.D5;3.D4;4.D3;5.D2
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% features -> 1. Min;2.Max;3.Std;4.Avg;5.Pow;6.Energy
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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function data = computeSWTPredict(raw_data,preprocessing_method,channel,fb,features)
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%define variable
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if strcmp(preprocessing_method,'ica_swt')
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raw_data = computeICAPredict(raw_data);
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end
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counter=1;
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data=[];
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for j = channel
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[swa,swd] = swt(raw_data(j,:),5,'db4');
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d2=swd(2,:);
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d3=swd(3,:);
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d4=swd(4,:);
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d5=swd(5,:);
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a5=swa(5,:);
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if counter==1
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set(gcf,'Visible','off');
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plot(a5);
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print -dpng '../../Web App/img/swt/a5.png';
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set(gcf,'Visible','off');
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plot(d5);
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print -dpng '../../Web App/img/swt/d5.png';
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set(gcf,'Visible','off');
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plot(d4);
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print -dpng '../../Web App/img/swt/d4.png';
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set(gcf,'Visible','off');
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plot(d3);
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print -dpng '../../Web App/img/swt/d3.png';
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set(gcf,'Visible','off');
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plot(d2);
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print -dpng '../../Web App/img/swt/d2.png';
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end
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counter=2;
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data_feature = [];
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if ismember(1,fb)
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if ismember(1,features)
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data_feature = [data_feature,min(a5)];
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end
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if ismember(2,features)
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data_feature = [data_feature,max(a5)];
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end
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if ismember(3,features)
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data_feature = [data_feature,std(a5)];
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end
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if ismember(4,features)
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data_feature = [data_feature,mean(a5)];
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end
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if ismember(5,features)
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data_feature = [data_feature,mean(a5.^2)];
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end
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if ismember(6,features)
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data_feature = [data_feature,sum(a5.^2)];
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end
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end
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if ismember(2,fb)
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if ismember(1,features)
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data_feature = [data_feature,min(d5)];
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end
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if ismember(2,features)
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data_feature = [data_feature,max(d5)];
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end
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if ismember(3,features)
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data_feature = [data_feature,std(d5)];
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end
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if ismember(4,features)
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data_feature = [data_feature,mean(d5)];
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end
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if ismember(5,features)
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data_feature = [data_feature,mean(d5.^2)];
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end
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if ismember(6,features)
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data_feature = [data_feature,sum(d5.^2)];
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end
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end
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if ismember(3,fb)
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if ismember(1,features)
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data_feature = [data_feature,min(d4)];
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end
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if ismember(2,features)
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data_feature = [data_feature,max(d4)];
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end
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if ismember(3,features)
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data_feature = [data_feature,std(d4)];
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end
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if ismember(4,features)
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data_feature = [data_feature,mean(d4)];
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end
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if ismember(5,features)
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data_feature = [data_feature,mean(d4.^2)];
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end
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if ismember(6,features)
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data_feature = [data_feature,sum(d4.^2)];
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end
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end
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if ismember(4,fb)
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if ismember(1,features)
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data_feature = [data_feature,min(d3)];
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end
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if ismember(2,features)
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data_feature = [data_feature,max(d3)];
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end
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if ismember(3,features)
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data_feature = [data_feature,std(d3)];
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end
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if ismember(4,features)
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data_feature = [data_feature,mean(d3)];
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end
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if ismember(5,features)
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data_feature = [data_feature,mean(d3.^2)];
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end
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if ismember(6,features)
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data_feature = [data_feature,sum(d3.^2)];
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end
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end
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if ismember(5,fb)
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if ismember(1,features)
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data_feature = [data_feature,min(d2)];
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end
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if ismember(2,features)
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data_feature = [data_feature,max(d2)];
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end
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if ismember(3,features)
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data_feature = [data_feature,std(d2)];
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end
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if ismember(4,features)
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data_feature = [data_feature,mean(d2)];
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end
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if ismember(5,features)
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data_feature = [data_feature,mean(d2.^2)];
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end
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if ismember(6,features)
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data_feature = [data_feature,sum(d2.^2)];
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end
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end
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data = horzcat(data,data_feature);
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end
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end |