Once we run ICA, we can remove the noise components. This section explains how to use the SASICA plugin to identify and reject noise components.
This powerpoint explains the different tests SASICA performs on the data and contains example neural and nose components.
Quick Reference: EOG Channels
| 256 Net | 64 Net |
Vertical | E36 E18
| E62 E63 |
Horizontal | E251 E227 | E61 E64 |
Also, copy the list of components you rejected and paste it into an update post on the website, and make sure you write which dataset that list is associated with. See the video below at 11:45 for more info.
How to remove bad components using SASICA
After you remove noise components, check the waveform plots and headplots to see if you’ve removed enough noise components.
