Now we can ask this App to drop some of our epochs based on the amplitude of individual channels, by specifying a rejection criteria so we could for example say that if we have an eeg channel in our epoch that shows a an amplitude of 150 micro volts or above we're going to reject that epoch, There is also a related parameter, flat criteria, that can be used to set minimum acceptable peak-to-peak amplitudes for each channel type in an epoch. To actually apply these criteria we use the drop_bad function and we pass reject criteria and the flat criteria.
Links to the App:
https://github.com/zahransa/app-artifact-amplitude
https://brainlife.io/app/62b1c272ab3e66978065736f
Inputs of the App:
Files | Format | Datatype | Description |
|---|---|---|---|
Epochs | -epo.fif | neuro/meeg/mne/epochs | Epoched data to be filtered |
...