[Eeglablist] Extraction of spectral power from brain components after ICA
Park, Jinhan
jinhan.park at ufl.edu
Thu Jan 18 07:50:29 PST 2024
Hello Chang,
I'm Jinhan Park, a Ph.D. Candidate at UF.
I think after the ICA, you can compute components' frequency power using "icaact.m."
What I used was like:
In MATLAB, "EEG.icaact = icaact(EEG.data, (EEG.icaweights*EEG.icasphere),mean(EEG.data'));"
The "EEG.icaact" data is time-series signals. If you get this, you can convert the time-domain into frequency domain data using the same way as you did in sensor data.
I hope it could help you.
Best,
Jinhan
Jinhan Park (Hans) | Ph.D. candidate
Department of Applied Physiology and Kinesiology
University of Florida
Laboratory of Rehabilitation Neuroscience | lrnlab.org
Phone: +1 (352) 328-6605
Email: jinhan.park at ufl.edu
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Sent: Thursday, January 18, 2024 3:47 AM
To: eeglablist at sccn.ucsd.edu <eeglablist at sccn.ucsd.edu>
Subject: [Eeglablist] Extraction of spectral power from brain components after ICA
[External Email]
Dear all,
As far as I know, we can extract quantitative spectral power (e.g. alpha
and delta power) from channels. However, is it also possible to extract
spectral power from brain components (after ICA, we have power spectra of
each component, so we can?) I do not major in engineering or computer
science, so it's difficult to create my own code...
Best Wishes,
Jinwon Chang
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