Converting data contained in a cell array (4D-single) into .xls matrix for excel

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Dear all
I am working with EEG/electrophysiology data and have just created an ERSP (Event-related spectral perturbation) plot for two groups (patients and healthy subjects) and four experimental conditions.
So, MATLAB created the chart:
STUDY = std_erspplot(STUDY,ALLEEG,'channels',{'E36'}, 'design', 1);
Then, in order to derive the values, I asked to generate the files "erspdata", "ersptime" and "erspfrequency", with the command:
[STUDY erspdata ersptime erspfrequency] = std_erspplot(STUDY,ALLEEG,'channels',{'E36'}, 'design', 1);
MATLAB created the three files and now I want to export the data to excel. The files "ersptime" and "erspfrequency" can be easily exported via "xlswrite()", since they are "1x500 double" and "1x190 double" respectively.
Now, regarding "erspdata" which is a "4x2 cell" and that each of the 8 cells is characterized by "4-D single", I cannot export, because it is 4 dimensions (time, frequency, power and color ).
I want to at least extract the values ​​of "power" by "time" and "frequency", but I'm not able to.
Can you help me?
Thank you very much
Lucas

Accepted Answer

Mitch Lautigar
Mitch Lautigar on 1 Jun 2022
You should be able to access the data inside of "erspdata" and store it elsewhere. an example of this would be "temp = erspdata(1,1)"This will let you get the data into a separate variable and give you chances to manipulate it.
  7 Comments
Mitch Lautigar
Mitch Lautigar on 1 Jun 2022
Try the code below to manipulate temp.
temp2 = squeeze(cell2mat(temp)); %reshape into 3D
C = reshape(temp2,[],size(temp2,2),1) %reshape into 2D.

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More Answers (2)

Lucas Marques
Lucas Marques on 1 Jun 2022
Sorry Mitch...
Please, try again now.

Lucas Marques
Lucas Marques on 2 Jun 2022
Dear Mitch
Sorry for the delay in responding.
The script ran perfectly!!! I even managed to export all the study files to an xls file.
Thank you very much!!! I've been trying to figure out how to do these steps for a few months now, and you were fundamental!
The only remaining doubt I have is the interpretation of the lines created in the 2-D matrix. Before in the 3-D matrix I had 193 (points from my frequency range) x 500 (points from my timeline) x 57 (number of patients). Now, in the 2-D matrix I joined the 193 with the 57 and I have 11001 lines. My question is in understanding the order of these lines. Do I have all 57 patients for each of the 193 frequency points (A) or do I have all 193 points for each of the 57 patients (B)?
For example:
A)
line1 - Patient1 and frequency1
line2 - Patient2 and frequency1
line3 - Patient3 and frequency1
B)
line1 - Patient1 and frequency1
line2 - Patient1 and frequency2
line3 - Patient1 and frequency3

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