[Eeglablist] clean raw data ars eeglab

Cedric Cannard ccannard at protonmail.com
Thu Jun 15 09:12:49 PDT 2023


Dear Soniya,

Yes, your data were cleaned. This warning is just to let you know the visualization of the artifacts (in red superimposed to raw data) failed. You should inspect your data with Plot > Channel data scroll, but you will only be able to see the boundaries of what has been removed. 


Cedric Cannard, PhD


Sent with Proton Mail secure email.

------- Original Message -------
On Wednesday, June 14th, 2023 at 7:59 PM, Soniya Usgaonkar via eeglablist <eeglablist at sccn.ucsd.edu> wrote:


> Detecting flat line...
> Scanning for bad channels...
> Your dataset appears to lack correct channel locations; using a
> location-free channel cleaning method.
> Finding a clean section of the data...
> Determining time window rejection thresholds...done.
> Keeping 93.1% (2579 seconds) of the data.
> eeg_insertbound(): 120 boundary (break) events added.
> Estimating calibration statistics; this may take a while...
> Determining per-component thresholds...done.
> Now cleaning data in 3076
> blocks................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
> .....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
> .....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
> ..........................................................................................
> eeg_insertbound(): 61 boundary (break) events added.
> Now doing final post-cleanup of the output.
> Determining time window rejection thresholds...done.
> Keeping 99.2% (2695 seconds) of the data.
> eeg_lat2point(): Points out of range detected. Points replaced with maximum
> value
> eeg_insertbound(): 15 boundary (break) events added.
> Warning: EEG.etc.clean_sample is present. It is overwritten.
> Use vis_artifacts to compare the cleaned data to the original.
> Warning: vis_artifacts failed. Skipping visualization. Could be because of
> duplicate channel
> label.
> 
> > In pop_clean_rawdata (line 219)
> 
> Done.
> SIR I GET THIS WARNING.DOES IT MEAN IT HAS CLEANED MY DATA OR NOT.KINDLY
> HELP
> Regards and Thanks
> Soniya Usgaonkar,
> Assistant Professor,
> Department Of Information Technology,
> Goa college Of Engineering,
> Farmagudi-Goa
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