I'm trying to work on a eeg file which is in .mat format. And I need to convert it to a eeglab format, pop_loadset is supposed to do that. But it's not working.
I can read the file using scipy.io.loadmat(). But I don't know how to work with that format. I'm working on google colab.
matItem ='/content/drive/MyDrive/Depression Rest/Matlab Files/507_Depression_REST.mat'
matData = octave.pop_loadset(matItem)
#matData = scipy.io.loadmat(matItem)
---------------------------------------------------------------------------
Oct2PyError Traceback (most recent call last)
<ipython-input-88-79de92d55448> in <cell line: 2>()
1 matItem ='/content/drive/MyDrive/Depression Rest/Matlab Files/507_Depression_REST.mat'
----> 2 matData = octave.pop_loadset(matItem)
3
4 #matData = scipy.io.loadmat(matItem)
1 frames
/usr/local/lib/python3.9/dist-packages/oct2py/core.py in _exist(self, name)
755 if "error:" in resp:
756 msg = 'Value "%s" does not exist in Octave workspace'
--> 757 raise Oct2PyError(msg % name)
758 else:
759 exist = 2
Oct2PyError: Value "pop_loadset" does not exist in Octave workspace`
I've tried using loadmat then convert by using mne Python. But it's not working. I'm using this dataset:
pred+ct
This tutorial demonstrates how to use EEGLAB functions from Python: https://eeglab.org/others/EEGLAB_and_python.html#how-to-call-eeglab-functions-from-python
You are already using Oct2py, so you need to add the desired functions to Python using
octave.addpath.It looks like you should be using