Another way to go is to use the GUI Networking Widget, to output a stream in LabStreamingLayer format. This can then be consumed by Python or Matlab directly. But then you need to do the signal proces

@skiria8 if you wanted a good software solution for markers, I recommend the lab streaming layer (LSL). It's very easy to create an LSL stream from the Cyton using the OpenBCI GUI or OpenBCI_LSL, and…

http://openvibe.inria.fr/how-to-use-labstreaminglayer-in-openvibe/

OpenViBE from Ganglion you will need to send LSL LabStreamingLayer. This can be generated either from the GUI, or from OpenBCI_Python. Note that this additional buffering could possibly introduce add

I have entered my 8 channel settings with set_infer_chanlocs and a .ced file. It looks like the 10-20 montage is being used when I run LabStreamingLayer, however I am receiving the following output. 

With a Cyton board streaming LabStreamingLayer using Python is extremely simple.

Streaming LabStreamingLayer from Python may work as well.

https://github.com/sccn/labstreaminglayer/wiki/Tutorial-2:-Getting-started-with-LSL-multiple-streams

How is marker mode used in conjunction with the LabStreamingLayer? Is a MarkerStream necessary for the LabStreamingLayer to function? I have a Cyton board. 

https://www.google.com/search?q=labstreaminglayer+trigger

LabStreamingLayer is intended provide such timing correlations. But in my opinion, the optical trigger is your surest bet. Do you understand the simple circuit I outlined? It would take less than an h

I will try using the LabStreamingLayer.

I am using the raspberry pi (SO -> raspbian), I read the labstreaminglayer, I will try to use to saw the signal, I hope it works with ARM architecture.

thank you for the advices, I think I see the big lines of what you suggest. The latency I need to measure is that coming from the ble stack, OS, routig through labstreaminglayer etc. But first of all

Another approach that is possible, is to use the Networking Widget in the OpenBCI_GUI, to create a LabStreamingLayer (LSL) stream. Then consume that stream with the corresponding Python functions,

why?  I'v download too the folder  "labstreaminglayer-master" for python

Another possible solution would be to use the networking widget in your GUI, to output a LabStreamingLayer stream. Then consume that stream with Python,

This is what the LabStreamingLayer is designed to do. Use OpenBCI_Python to create an LSL stream, then consume it with your other Python process code,

As for the dependencies, check out the labstreaminglayer repo: https://github.com/sccn/labstreaminglayer

https://github.com/sccn/labstreaminglayer/wiki/ViewingStreamsInMatlab.wiki