[Mne_analysis] INCORRECT VALUES PRODUCED WHEN EPOCHING A CONTINOUS DISCRETE SIGNAL USING MNE EPOCH FUNCTION

[RODNEY PETRUS BALANDONG]

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Dear All,

The idea was to epoch the continuous EEG data of 386.936 s long into non overlapping epoch window, of size 20 s. With a sampling frequency 250 Hz, theoretically each epochs should contain 5000 data points per epoch.

To achieve the objective, the following code was utilised,

epochs = mne.Epochs(raw, events=events, event_id=event_id,  baseline=None, verbose=True)
MneApproach=epochs.to_data_frame()


To confirm whether the value return from the mne.Epoch  was correct or not, I had created a script that can performed the epoching manually. The output from the script has been validated visually and was working as intended.
However, I noticed there were different between the script output and the value from dataframe MneApproach. Apart from different values, the MneApproach contained only 176 datasets per epoch.

May I know what did I do wrong while inputting the mne.Epoch function.

The above problem can be reproduced from the following ipynb<https://colab.research.google.com/github/balandongiv/Downsample/blob/master/helpMne.ipynb> via Google Colab


Really appreciate for any feedback and help.

Regards
Rpb
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