[Eeglablist] Merging of Channel Time Series
simon at kamronn.dk
Mon May 5 10:27:09 PDT 2014
Depending on your specific application, I would just use PCA and then retain
the 15 components with largest eigenvalues. Alternatively you could
interpolate new channels from the old.
Fra: eeglablist-bounces at sccn.ucsd.edu
[mailto:eeglablist-bounces at sccn.ucsd.edu] På vegne af Anderson, Ronald C
Sendt: 4. maj 2014 09:18
Til: eeglablist at sccn.ucsd.edu
Emne: [Eeglablist] Merging of Channel Time Series
As part of an EEG time series analysis, our team would like to combine
multiple channels of data into a single time series. As an example, taking
60 channels of EEG data and merging certain channels to make a set of 15
channels. Several analyses would be conducted on the merged data, including
coherence, power, SL, and GC. I am writing to the EEGLAB list serve to see
if anyone has suggestions for a best-practice method of integrating several
channels into a representative time series.
We thank you for any assistance you can provide. My apologies if this
question seems simplistic or has already been addressed on the list serv.
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