Concatenate Matlab dataset files

Hi Folks,

I am doing some EEG analysis and have several files to merge them, I have to only use row 126 in each file. my files have 257 rows and 117917 columns. I have tried below and failed, saying Index exceeds matrix dimensions.

%A=fullfile('E:\PhD_Master_Dessertation+Scholarships\PhD_Tor Vergata\Study materials\PhD Work\Resources\SSVEP_Based_BCI\Codes\Extraction\FFT\MAMEM EEG SSVEP Dataset I\S001a.mat');
%B=fullfile('E:\PhD_Master_Dessertation+Scholarships\PhD_Tor Vergata\Study materials\PhD Work\Resources\SSVEP_Based_BCI\Codes\Extraction\FFT\MAMEM EEG SSVEP Dataset I\S001b.mat');

X1=importdata('E:\PhD_Master_Dessertation+Scholarships\PhD_Tor Vergata\Study materials\PhD Work\Resources\SSVEP_Based_BCI\Codes\Extraction\FFT\MAMEM EEG SSVEP Dataset I\S001a.mat');                 % read first file
X2=importdata('E:\PhD_Master_Dessertation+Scholarships\PhD_Tor Vergata\Study materials\PhD Work\Resources\SSVEP_Based_BCI\Codes\Extraction\FFT\MAMEM EEG SSVEP Dataset I\S001b.mat');                 % and second
%dat=interp1(X1(126,:),X2(126,:));   % interpolate 2nd to match first time data
   dat=[X1(126,:) X2(126,:)];   
%dataset3 = concat(dataset1,dataset2);
%  C = sortrows(unique([A(126,:);B(126,:)],'rows'));
%  C = [C,nan(size(C))];
%  C(ismember(C(126,:),A(126,:),'rows')) = A(126,:);
%  C(ismember(C(126,:),B(126,:),'rows')) = B(126,:);

[Tanmay Das]

Hi. Can you please attach both the files i.e. S001a and S001b

[Bayar Shahab]

the file sizes were almost 256 MB, So I have created a shared link:

S001a and S001b files

Answer 1

[Walter Roberson]

X1 = load('E:\PhD_Master_Dessertation+Scholarships\PhD_Tor Vergata\Study materials\PhD Work\Resources\SSVEP_Based_BCI\Codes\Extraction\FFT\MAMEM EEG SSVEP Dataset I\S001a.mat');                 % read first file
X2 = load('E:\PhD_Master_Dessertation+Scholarships\PhD_Tor Vergata\Study materials\PhD Work\Resources\SSVEP_Based_BCI\Codes\Extraction\FFT\MAMEM EEG SSVEP Dataset I\S001b.mat');                 % and second

dat1 = X1.eeg(126,:);
dat2 = X2.eeg(126,:);

At the moment it does not make sense to interp1() between the two of them. They both have the same sampling rate, so they have the same implied time for the first 117917 columns, and the second one simply ran for 0.352 seconds more.