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  1. Select only MEG channels and exclude bad channels

  2. Create events if there is no event in the data

  3. Create epochs based on the events

  4. Compute for each epoch its mean amplitude across all electrodes and times

  5. Compute the mean of all the mean amplitudes of each epoch

  6. Compute the standard error of that mean

  7. SNR = result step 5. / result step 6.

  • Compute SNR on a subset of channels?

  • Select only magnetometers or gradiometers?

  • Maybe when the data has events, it’s best to create the epochs based on these existing events

  • In several Apps there is the function to compute the SNR the way it is described here. For now, this function is not used

  • It would be interesting to add this function to the helper.py once we agreed on the way to compute the SNR.