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2025-01-19 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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This article is about how to use and delete ICA components in eeglab. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.
Study the operation of component properties: Tools > Reject data using ICA > Reject components by map. The operation process is as follows:
After the following interface appears, click "OK".
The difference between the resulting 3D shape and the previous 2D scalp map is that you can paint the properties of each component by clicking the rectangular button above the scalp map of each component.
Click the rectangle under a component and the following interface appears. You can see some eye artifacts in the following interface.
Individual eye movements can also be seen in the component erpimage.m (upper right panel). Eye artifacts are (almost) always present in EEG data sets. They are usually at the lead of the component array (because they tend to be large).
Subtracting ICA components from data
Usually we (in sccn) do not subtract the entire independent component process from the dataset because we usually study the activity of a single component (rather than the total scalp channel). However, if you want to delete a component, do the following: Tools > Remove components
The following screen appears when you click:
Enter the channels you want to remove in the top text box, such as 1, 2, and 3.
After clicking OK, the following screen appears, and click Accept.
After clicking Accept, the following screen appears, and click OK:
After clicking OK, redraw 2murd Component Scalp Maps
The following interface appears:
After clicking on OK, the following screen appears, and you can find that there are only 29 channels left.
Thank you for reading! This is the end of this article on "how to use and delete ICA components in eeglab". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, you can share it out for more people to see!
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