[Eeglablist] Remove DC Offset ERPLAB Filter

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Tue Dec 1 10:45:39 PST 2015

Dear Philippa,

People have different 'preferences' when it comes to filtering. Hence their
recommendation do differ, which could be confusing. However, I've never
heard of a paper rejected by improper filtering. If you follow one of the
standard applications in the literature, you'll be fine. I know this sounds
stupid but this is the truth. By the way I recommend EEGLAB's 'Basic FIR
filter (new, default)' with low-end '1', which applies 0.5-Hz cutoff (-6dB)
filter. Some say this is aggressive and 'distorts ERP', but there are
several trade-offs which they do not emphasize.

Here is a summary from my past communication with Andreas Widmann for your


On Tue, Nov 17, 2015 at 7:09 AM, Philippa Howsley <
psfhowsley1 at sheffield.ac.uk> wrote:

> Dear all,
> We have collected EEG data using the Biosemi Active Two system and are
> trying to determine the best way to remove the DC offset. We’re looking at
> ERPs so don’t want to high-pass filter our data too aggressively.
> After importing the .bdf files into EEGLAB we are considering filtering
> the data using the ERPLAB IIR Butterworth filter and ‘remove mean value (DC
> bias) before filtering’ option before continuing to analyse the data in
> EEGLAB. Are there any reasons why this wouldn’t be possible or advisable?
> Any advice would be greatly appreciated.
> Many thanks in advance,
> Philippa
> --
> *Philippa Howsley*
> Postgraduate Research Student
> Department of Psychology
> The University of Sheffield
> Sheffield, S10 2TN
> www.levita-lab.group.shef.ac.uk
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Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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