After working with continuous data, we typically have to deal with evoked designs and and there we have to create epochs, meaning we have to slice the continuous data into quite a bunch of small time segments typically just a second or two seconds or so long and we analyze those. So in this App we're going to create epochs and eventually we're going to average these epochs to create evolved responses meaning Event-related potentials (ERPs) of the Electroencephalography (EEG) and Event-related fields (ERFs) of the magnetoencephalogram (MEG)
Links to the App:
https://github.com/zahransa/app-epoch
https://brainlife.io/app/625d3130cc8ab2b339ea2692
Inputs of the App:
Files | Format | Datatype | Description | Optional |
|---|---|---|---|---|
Raw data | .fif | Data to process | No | |
Events | .tsv | Channels | Yes |
Configuation parameter | Type | Description |
|---|---|---|
tmin | number | The time relative to each event at which to start epoch (in seconds) |
tmax | number | The time relative to each event at which to end each epoch (in seconds) |
Outputs of the App:
File | Format | Datatype | Description |
|---|---|---|---|
Epochs | .fif | neuro/meeg/mne/epochs | Epoched data |
Evoked | .fif | neuro/meeg/mne/evoked | Evoked data |
Report | .html | html | Visualization of raw, event, epoched and evoked data |
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