Hi all,
I am attempting to use the "Detect eye blinks" tool and have come across an issue in how/what Brainstorm detects as an eye blink. I realize from the tutorials that there will be separate bins that artifacts will be allocated to based on similarity of characteristics. However, I am seeing something strange. In this first example I see what I determine to be a very clear blink, but it is not marked as anything. In the middle example it defines the blink as the moderate, hill shape peak. and in the last example it is defining a blink, but I do not see any artifact at all. Could I be missing something? Thanks!
Jackie
Hello,
The detection parameters that we use for eye blinks are more designed to detect artifacts in MEG. I can see it doesn’t work well on your data because it creates many categories of blinks. You can try to use the process “Detect custom events” and adjust the detection parameters (change the detection threshold and do not select the classification option).
http://neuroimage.usc.edu/brainstorm/Tutorials/ArtifactsDetect#Detection:_Custom_events
If you want to detect the blinks and mark them as bad, try to find correct detection parameters. If you are expecting to correct this artifact to keep as much recordings as possible, a better option would be to run an ICA decomposition of your signals and remove the components associated with the blinks. You do not need to detect the blinks in advance with this solution.
http://neuroimage.usc.edu/brainstorm/Tutorials/Epilepsy#Artifact_cleaning_with_ICA
Cheers,
Francois
