1. Exclude data in the light graph
1.1 Bad channels
1.2 Bad or undesired periods: e.g., exclude practice tasks so you avoid dealing with those later.
1.3 Exclude trials that the participant failed. For example, if the participant failed to reach the minimum inspiratory pressure in the second trial, exclude the second trial from the analysis for that person. (Click here and scroll to page 20)
2. Select filter options for light graph data
Noisy data: linear phase, low-pass filter (default): after this step, select ‘refined data’ for all further steps
3. Sliding-Window Motion Artifact Rejection (SMAR)
Click here and scroll to page 27
Original publication of the SMAR technique here
H. Ayaz, M. Izzetoglu, P. A. Shewokis and B. Onaral, "Sliding-window motion artifact rejection for Functional Near-Infrared Spectroscopy," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010, pp. 6567-6570, doi: 10.1109/IEMBS.2010.5627113.
4. Compute oxygenation signal
This technique uses the Modified Beer Lambert Law (MBLL) by clicking the “Oxy” button in the light file.
5. Exclude data in the oxy graph
5.1 Bad channels
5.2 Bad or undesired periods: e.g., exclude practice tasks so you avoid dealing with those later.
5.3 Exclude trials that the participant failed. For example, if the participant failed to reach the minimum inspiratory pressure in the second trial, exclude the second trial from the analysis for that person.
6. Select filter options for oxy data
Noisy data: linear phase, low-pass filter (default): after this step, select ‘refined data’ for all further steps
Click here and scroll to page 40
7. Apply detrending to refined oxy data
For signal drifts. Click here and scroll to page 43