i have an EEG signal of .mat extension. it is an epoched one,it contains epochs, odor and noisy as data. I tried to read it with loadmat of mne. but it shows a 2d array. I got data from Brain Electrophysiological Recording during Olfactory Stimulation in Mild Cognitive Impairment and Alzheimer Disease Patients: An EEG Dataset - Mendeley Data .Can anyone please help me to read this as a numpy array. I don’t want odor and noisy field right now.
Hello,
Use a library like pymatreader or scipy.io.loadmat to load and parse the file, then use RawArray and create_info to create the corresponding MNE objects.
See also: Creating MNE-Python data structures from scratch — MNE 1.8.0 documentation
Mathieu
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