[Eeglablist] Using ICA for labelling artifacts

[Velu Prabhakar Kumaravel]

Hello,

Does anyone have some thoughts to share on this?

Thanks,

Velu

On Thu, 14 Jul 2022 at 12:00, Velu Prabhakar Kumaravel <
velu.kumaravel at unitn.it> wrote:

> Dear EEGLABers,
>
> As we know, it is rare to find data labeled for artifacts which makes it
> hard to develop or validate artifacts detection algorithms. My colleagues
> and I wonder if we could use ICA followed by ICLabel to label the segments
> of data as "Artifact" or "Clean". The steps are as follows:
>
> 0) To facilitate reliable ICA decomposition for short windows of data,
> only 4 channels are kept (known apriori)
> 1) Bandpass filter (1-45 Hz)
> 2) Segment data into 4s non-overlapping windows (sampling rate = 256 Hz,
> 1024 samples)
> 3) Perform ICA
> 4) Classify components using ICLabel
> 5) If there exists at least 1 eye or muscle Component with probability >
> 0.95, the given window of data is "Artifact". Otherwise, "Clean".
>
> Do we see any potential problems in the approach? From our preliminary
> analysis, more than 50% of windows are labeled for Artifact, hence the
> concern.
>
> I appreciate your feedback.
>
> Thanks and regards,
>
> Velu Prabhakar Kumaravel, Ph.D. Student
> Center for Mind/Brain Sciences,
> University of Trento, Italy
>