If your signal have been loaded, can you plot a smaller segment, or some few channels?. I remember that kind of problems when working with EEG data, but solved them with EEGLAB. Perhaps it can help you, also if u send us the code and the size of your data and the error that Matlab gives.

Yeah definitely use EEGLAB. Im currently using it for my PhD.

http://sccn.ucsd.edu/eeglab/install.html

Yeah getting more RAM worked for us, at least 8 Gb is good

Thank you. Can i load a few samples from my data so that i may do short analysis

@Tyler

Which version of EEGLAB can i use? Can i download the compiled version and use my data?

Get the latest version (version 13). What type of data do you have? As in what is the extension eg. .cnt

It is .edf (European data format)

Try EEGLab

Regards,

NItish

Make sure you're using a 64-bit version of Matlab. If you're using a 32-bit version that could be the problem.

Use EEGLAB with 64 bit windows. you will never get this problem even if your RAM is just 2GB.

How much time it takes to show this error? If immediately it shows then you should change to any other simulator. If it takes longer then it actually loads the data and by having better system hardware the problem may be solved. I have experienced the problem in my small acer netbook but it was avoided in my desktop pc (Never used EEG Signal though).

Please refer to the following url:

http://www.mathworks.com/help/matlab/matlab_prog/resolving-out-of-memory-errors.html

I second the comment about using 64-bit Matlab/Windows. You can load larger files in memory and even extend the available memory by increasing your virtual memory. I have had similar issues with large audio files and eliminated them in this manner.

I cleared the error using 64 bit windows. Now to load a small portion of my signal i need to know my signal labels. How can i know them? In the dataset the signal labels (eg: t7-p7) are present. when i use those names in matlab code t7 variable not found error has come... what shall i do now?

Perhaps the system you used to record the data comes with a (non-Matlab) utility that will allow you to cut or downsample the data? Temporally downsampling will reduce the size of the file. Depending on the kinds of analyses you will perform, you may not need higher than, e.g., 200 Hz. Or you could chop the data file into, e.g., 4 smaller files and then read in each and process independently.

Try to solve the problem with EEGLAB.

It is really useful to import and analyze EEG raw data.

Regards

Hi, I had the same problem. To solve this problem, I first increased the amount of RAM from 2 to 4 GB, then I installed 64-bit Windows instead of 32-bit