I have been taking ssvep data from 5 days but i hardly find any prominent peak in data. Noise as you see in pic attached is always at this uV level . I barely see peaks of SSVEP that go above 3-4 uV.

Another example of OpenBCI hardware + XR: https://openbci.com/forum/index.php?p=/discussion/2860/mixed-reality-ssvep-research-platform-open-source#latest

Hey all,

generate alpha waves, and even tried the ssvep movies provided by chip, and even that didn't work. I tried both dry electrodes and passive gold electrodes and both didn't give good results at all. I

For SSVEP, I used the code provided by chip for the video file generation, as I know real time program won't be very accurate and tried a LED array, but was very uncomfortable. But then again it didn'

However, I dont seem to be able to generate any EEG signal, as nor closing my eyes for alpha waves, or using SSVEP patterns seem to work at all.

Regarding the tutorials you mentioned, yes I setup the Cyton board the way its explained in the document. And I aslo tried to generate Alpha waves the same way that was explained in the EEG tutorial u

We intend to extend with more data and alternative BCI types (p300, SSVEP etc.) as we get them, and welcome uploads.

MindAffect is a cVEP BCI, code-based visual evoked potentials BCI. Thus it operates much more rapidly and consistently than previous SSVEP (steady state) based BCIs. cVEP also performs much better tha

re: whether your SSVEP / P300 app is 'real-time'. You may or may not be able to workaround the latency you experience with High Sierra. As you see the GUI does fine just by using the Brainflow library

Yes, I do. I'm developing a Hybrid BCI using SSVEP and P300 that needs feedback during online trials.

I am still searching for the SSVEP thing. I am not even sure I am doing it correctly. But I thought maybe that would be a quick way to test if the readings are correct, cause as mentioned, the headset

re: SSVEP flash generation from LCD laptop monitor screen. This is not so easy, depending on how you are doing it. See some of these related threads:

We are intending to use SSVEP to stimulate the brain to generate a certain signal. Then use the recorded signal after processing the RAW data and applying filters as an input to a 1D-CNN model to clas

The following is not SSVEP, but it is much better, called cVEP (code based). Many times easier and faster to operate (for the subject) than SSVEP. An SSVEP speller would require a multi-layer choice t

I searched this and other forums in order to find some open-source ssvep keyboard that I could use for creating a working speller with my openBCI setup. Unfortunately, I did not find anything that cou

Of course i had not yet seen this SSVEP short cut. But no physicist is fully stupid. And you should already have understood that i will put 'visual evoked potential' in the same cheap trick box.

g.tec's mention of Smart Home Control is using SSVEP. Do you know what SSVEP is? What they state is entirely true. g.tec is a medical electronics company in Austria, with a stellar reputation among BC

Using OpenBCI GUI’s Networking widget and LSL for streaming data I was able to evoke ssVEP using my stimulation application, but still could not do it using BrainFlow API.

I will also show the graphs from my SSVEP trials if I can find them so you can observe the type of noise I am looking at and see if it seems pretty standard all things considered.