[Eeglablist] How to Clean EEG Data with Large Amplitudes After High-Pass Filtering

[Ingmar Brilmayer]

Hi Jiongjiong,

it is difficult to see how noisy your data really are, because the scale in your screenshot is so high. But I have worked with mobile EEG in the last years quite a lot and 100 mV is really not unusual with moving participants and (I assume) active (dry?) electrodes. Anyway, I can really recommend ASR or "return of the GEDAI" (https://urldefense.com/v3/__https://www.biorxiv.org/content/10.1101/2025.10.04.680449v1__;!!Mih3wA!CMazBLo16hJ-Q-SCxvZUHrraSKlUEPovDHQea_jhgHf7pW30gbsngUyKSMqZ9QVGKT6DlW84s3iOaBbRza4G3bzjpAI$ ), which really work well. Also, ICA (AMICA) still is very valuable, best together with GEDAI or ASR, but beware, there has been some discussion, whether ASR and ICA should be used together.

Best
Ingmar



On 6/22/26 15:30, Евгений Машеров via eeglablist wrote:
> First of all, the problem isn't the high amplitude, but rather the artifacts. As far as I can see, Fp1 is completely disconnected (besides the high-amplitude artifact, this is indicated by power frequency interference). Leads P7, O1, and P3 also appear to be motion artifacts. If a more reliable connection can't be achieved, frequency filtering won't help.
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-- 
Dr. Ingmar Brilmayer
"Communication Electrified"
Department of German Language and Literature I
University of Cologne
Albertus Magnus Platz
50923 Cologne, Germany

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