[Eeglablist] interpolating boundary events

[Gin Estrella Cruz]

Hi Scott,

I initially thought interpolating short boundary events was needed to
maintain a strictly continuous dataset for my subsequent analyses like ICA
or PSD. But I’ve since found out that EEGLAB typically skips or removes
those intervals automatically, so interpolation is often unnecessary. I
tried cubic spline interpolation across the short gaps and I got flat
lines, so bridging gaps with artificial data would seem to distort
subsequent analyses. Therefore, I no longer plan to interpolate short
boundary events unless I’m running a method that explicitly requires a
single unbroken time series (like nonlinear time series methods), but even
then, I may just split the data into segments, removing the boundary gaps.
By the way, I am trying to do a fusion of EEG with resting-state fMRI.

And thanks to EEGLAB and its developers -- such a wonderful tool!

-Gin

On Sun, Mar 9, 2025 at 3:07 AM Scott Makeig <smakeig at gmail.com> wrote:

> Gin -
>
> Why would you want to do that?
>
> Scott Makeig
>
> On Wed, Mar 5, 2025 at 8:39 PM Gin Estrella Cruz via eeglablist <
> eeglablist at sccn.ucsd.edu> wrote:
>
>> Hi everyone,
>>
>> What is the current consensus on interpolating across boundary events?
>> Which algorithm or EEGLAB plug-in would you recommend?  I plan to
>> interpolate across a threshold of no longer than 2-seconds of boundary
>> event interval.
>>
>> I'd appreciate your help.
>>
>> Thanks,
>> Gin Cruz
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>
>
> --
> Scott Makeig, Research Scientist and Director, Swartz Center for
> Computational Neuroscience, Institute for Neural Computation, University of
> California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott 
>