[Eeglablist] ECG Channel Inclusion in ICA and ICLabel Steps

[Sofia Amaoui]

Dear all,

We are conducting a Heart-Evoked Potential (HEP) study using EEG signals
that are time-locked to R-peak via ECG. Our preprocessing pipeline is being
implemented with EEGLAB, including the ERPLAB and HEPLAB plugins. As part
of this process, we employ Independent Component Analysis (ICA) and ICLabel
to identify ocular and cardiac field artefacts (CFA).

A key question has arisen regarding including the ECG channel in the ICA
and ICLabel steps. Our preliminary findings show that when we include it,
CFA classification is much higher.

We are seeking your insights on whether the inclusion of the ECG channel is
aiding in the identification of CFA components or if it might be
compromising EEG information of interest by focusing on identifying and
removing CFA.

Thank you for your time and assistance.

Best regards,

Sofia Amaoui,