Reading .mat file in MNE

[honeyZzz]

from scipy.io import loadmat
import mne

mat_file_name = "EEG.mat"

raw = loadmat(mat_file_name)
print(raw['EEG'])

dict_keys([‘header’, ‘version’, ‘globals’, ‘EEG’])

It can be received in dictionary form. However, when reading only the EEG here, only the NumPy array is spit out. When I output the raw['EEG] shape, it comes out as (1,1). What should I do?

[cbrnr (Clemens Brunner)]

Usually, loading the file with simplify_cells=True already makes the structure a bit less complex. Can you try and see if this helps in your case?

[honeyZzz]

notimplementederror: please use hdf reader for matlab v7.3 files, e.g. h5py

data = {}
f = h5.File('test.mat')
for k, v in f.items():
    data[k] = np.array(v)

print(data.shape)

In this case, need to read it with h5py, but what should do if only measured items exist in the index and cannot see the values ​​of the measured items?

I think it should have the shape (41, n).

[richard (Richard Höchenberger)]

@honeyZzz

data = {}

You created a dictionary with 41 keys. Instead, you probably want a list and then use np.vstack (or was it hstack?) or something. Not sure why data.shape even works for you, this actually should raise an exception.

Best wishes,
Richard