Last active
May 8, 2017 03:10
-
-
Save shravankumar147/833f315d686e13c48ede9368c06462bd to your computer and use it in GitHub Desktop.
This code will extract nback-features from the data. line 7,8 loads correct response indices. Modifications are from line 40-42, for MATLAB2016a version compatibility.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
clear all; | |
clc; | |
% loading Preprocessed_2s, which contains data | |
load('Preprocessed_response_2s.mat') | |
% loading correct respose indices | |
load('etc\response_fld0.05_correct.mat'); | |
% load('etc\response_correct_fld0.05.mat'); | |
S=[]; | |
for s = 1:length(Preprocessed_2s) | |
% if any(s==[3,4,12,23]) | |
% continue; | |
% end | |
% subjects exluded | |
if any(s ==[3,4,12,19,22,23,33,34]) | |
continue; | |
end | |
% extracting n-back features from the remaing subjects data | |
fprintf('Subject %d: Name: %s\n',s,Preprocessed_2s(s).subject) | |
s1 = Preprocessed_2s(s).data; | |
s1 = double(s1); | |
F2 = []; | |
for j = 1:size(s1,3) | |
F1 = []; | |
%fprintf('[Info]: epoch %d/%d\n',j,size(s1,3)); | |
for i = 1:size(s1,1) | |
x = s1(i,:,j); | |
f = nback_features(x); | |
F1 = [F1;f]; | |
end | |
F1 = F1'; | |
F1ravel = F1(:); | |
F2 = [F2;F1ravel']; | |
end | |
%NOTE: | |
% F2= (F2-min(F2)) ./ (max(F2)-min(F2)); %This is throwing error for me | |
% in 2016a | |
% Modified: | |
num = F2-min(min(F2)); | |
den = max(max(F2))-min(min(F2)); | |
F2 = num./den; | |
S = [S;F2]; | |
disp('#########################') | |
end | |
S=S(idx,:); |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment