[Eeglablist] ECG Channel Inclusion in ICA and ICLabel Steps

[Richards, John]

Don't include ECG in the EEG signal for ICA.  For various technical reasons (amplitude, frequency, signal spikes, location) and theoretical ones (its NOT a brain signal; you want to correlate ECG and EEG).

See poster by Wanze Xie at ICIS, or contact him.  He has synchronized cardiac cycles and ERPs.  His techniques might be useful and he has some very interesting VEP/cardiac cycle data.

John


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John E. Richards
Carolina Distinguished Professor
Department of Psychology
University of South Carolina
Columbia, SC  29208
Dept Phone: 803 777 2079
Fax: 803 777 9558
Email: richards-john at sc.edu
https://urldefense.com/v3/__https://jerlab.sc.edu/__;!!Mih3wA!B4rXaMGVhHYr_2oHmmQc94PJcfhiYYPWsZNqJtpm0CRKhOTeHaXWrkUCGI-mcxaW1b2qR1YWJv1lJrPrNV29FIao1z4gCQ$ 
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-----Original Message-----
From: eeglablist <eeglablist-bounces at sccn.ucsd.edu> On Behalf Of Sofia Amaoui via eeglablist
Sent: Thursday, August 1, 2024 8:54 AM
To: eeglablist at sccn.ucsd.edu
Subject: [Eeglablist] ECG Channel Inclusion in ICA and ICLabel Steps

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,
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