Hi Malcolm,
We've put together a validation toolkit for ear-EEG devices trying to help with this issue of evaluating the limits of the devices, you can access it here (https://osf.io/2dxs4/). One component of the toolkit is a series of EEG paradigms that run on psychopy. The detailed publication is here (https://www.mdpi.com/1424-8220/24/4/1226). ASSR and Alpha Block would be the simplest to figure out whether you are getting anything useful or not.
Kind regards
Alejandro
Hello Malcolm,
One idea could be to perform an ABR amplitude growth function as
commonly used in ENT clinics, see for example [1]. That would not
involve a test of the behavioural feedback part of your setup, but
verify the EEG recording signal chain. And it has the advantage that you
also gather a good characterization of the auditory system of the
participants which might prove useful in the analysis (individual
threshold, slope, latencies).
Greetings from a sunny Europe,
Stefan
[1] https://www.sciencedirect.com/science/article/pii/S1879729623000534
Am 2025-06-29 05:45, schrieb Malcolm Slaney:
> What is a good test we can do to verify that we have a working ear-EEG
> setup with new EEG equipment? Is there a standard test we can run
> before each subject to insure we are getting good data?
>
> An ASSR test, a MMN test? Something short, reliable, and easy to
> quantify that we have good data. We are going to be playing with
> several different kinds of EEG equipment at the Telluride Neuromorphic
> Workshop this week, and I’d love to have a go-no-go test before we
> collect more complicated experiments (like attention decoding).
>
> Is there a standard? What do people recommend?
>
> Thanks.
>
> — Malcolm