Using nested for loop to create a 3D matrix ?

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Perrine Cristante
回答： Perrine Cristante 2018-6-7
Hello,
I have an ECG signal to parse to find values corresponding to a certain time window. The start and stop times of the window are respectively stored in QRSavgd and QRSavgf. X is my time scale.
B = [];
X = samples*1000/f;
A = horzcat(ECG(:,1:12),X.');
for i = 1:length(QRS)
for j = 1:length(ECG)
if A(j,13)>=QRSavgd(i) && A(j,13)<=QRSavgf(i)
B(:,:,j) = vertcat(B,A(j,:));
% plot(B);
end
end
end
I would like to store each B array found with the j loop in a 3D matrix so that I can differentiate each iteration of the j loop, to know which values I get when j=1, j=2...
Thanks
  2 个评论
Stephen23
Stephen23 2018-6-6
It does not make much sense to use both concatenation and indexing to collect your values:
B(:,:,j) = vertcat(B,A(j,:));
What are you hoping to achieve?
Perrine Cristante
Perrine Cristante 2018-6-6
I would like to be able to overlap the QRSs on a plot, hence getting each individual QRS in a 3D plot x,y,z where x is the ECG derivation, y is the amplitude and z is the QRS index.

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采纳的回答

Perrine Cristante
I finally found how to do it using cell arrays instead of 3D matrix, so I'll put the solution for the ones with the same problem as me :
B = {};
X = samples*1000/f;
A = horzcat(ECG(:,1:12),X.');
for i = 1:length(QRS)
C = [];
for j = 1:length(ECG)
if A(j,13)>=QRSavgd(i) && A(j,13)<=QRSavgf(i)
C = vertcat(C,A(j,1:12));
end
end
B{i} = C;
end
This creates a 2D matrix named C and stocks it in the cell array named B.

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