We open a new dataset. This is an n-back task with 3 levels of difficulty: 0-back, 1-back, 2-back and 3-back, so there are 3 different markers and 7 repetitions of each. The task was almost 40 minutes in total.
Also load marker file:
You see a lot of markers here, so as described above, we go right-click → toggle marker visibility and the markers are then removed from your view.
The resulting view looks like this:
Right-click → optode layout view:
This opens the 2x8 layout view:
There are no saturations in these data, the signal looks fine.
Now go to the bottom tool bar and click the tab “Refine”
In Step 1, we select raw data because our data have not undergone any processing yet.
Step 2, we select the default filter this time, then apply. You can also click on “Filter Designer Tool” and custominze your own filtering options (see below).
Here you have the option to customize existing filters and save them as new filters that will then appear in the dropdown menu of the screen above. You can see in the graph how these options affect your data.
The application of the default filtering options leads to this smoothed signal, i.e. the high-frequency noise from before has now been removed:
Now we click on the “Oxy” tab in the bottom tool bar:
This opens the oxygenation calculation window. The default baseline is what we recorded in the beginning. However, you can also define any other block of time as your baseline or you can use from memory/data space (I don’t know what that means). It is not critical which option we select now, since we can always go back and change the option to reconfigure.
We now want to select “Refined Data” because we don’t want to use the raw data (selected by default, so need to change), we want to use the filtered data we just created.
Click “Calculate oxygenation”.
