I’m trying to stream analog data from a photoresistor to LSL but keep running into problems:

Yet another option you have, is to use the GUI Networking Widget to send Band Power data out via the protocol called LSL.

This is probably useless: but the NeuroPype people COULD in the future use the Brainflow library to read OpenBCI streams directly, without involving the GUI or LSL. But possibly they depend on LSL so

I'm sorry, but that Motor Imagery tutorial is not being supported by the author. I only gave that link as an EXAMPLE of how he linked NeuroPype to the output of OpenBCI_GUI LSL stream. You're going to

[LSLInput] Resolving data stream (name='obci_eeg1' and hostname='ECE423-DX3N9R3')...  [LSLInput] LSL: Data stream obci_eeg1 acquired.  [LSLInput] receiving chunk [1 150] Connection to server lost un

There is an example in the 'docs' tree regarding feeding GUI LSL data to NeuroPype,

Currently, we are using the OpenBCI GUI to generate the LSL stream, while it seems that the link you mentioned directs me to a page to set up a Python script, which I believe has been absorbed into th

Currently, we are using the OpenBCI GUI to generate the LSL stream, while it seems that the link you mentioned directs me to a page to set up a Python script, which I believe has been absorbed into th

In our current setup, I am outputting a timeseriesraw stream from OpenBCI via LSL and NeuroPype will verify that it has received the data but will stop responding on the PC as the LSL stream continues

I am seeking help connecting the OpenBCI GUI to NeuroPype via LSL on the same PC.

With the non-LSL Aux data approach, the GUI is NOT needed. You can do all the work in your Python (or other language) program, as the same Aux data is available there.

Is with the external trigger approach, both for photodiode/resistor and buttons. LSL depends on the fact that the EEG amplifier must be very carefully characterized in terms of total delay between the

(2) DIGITAL APPROACH: Use EEG-ExPy for on-screen stimuli presentation + BrainFlow Python + LSL to be able to use two different markers (stimulus + response) + LabRecorder to connect to both streams (t

file:/C:/Users/lcumm/OneDrive/Documents/My%20Documents/00-EEG/z-OpenBCI_GUI-v5.2.2-2023-08-21_16-14-34_windows64/lib/OpenBCI_GUI.jar, file:/C:/Users/lcumm/OneDrive/Documents/My%20Documents/00-EEG/z-O

Native library (win32-x86-64/BoardController.dll) not found in resource path ([file:/C:/Users/lcumm/OneDrive/Documents/My%20Documents/00-EEG/z-OpenBCI_GUI-v5.2.2-2023-08-21_16-14-34_windows64/lib/LSLL

I'm looking for some clarification on the FFT data transmission when using LSL with the Ganglion board, particularly at a 200Hz sampling rate. According to the documentation, FFT data is sent as a 2D

So my question would be whether it is possible to stream EMG data in addition to the EEG data. To stream the raw EEG data, I select TimeSeriesRaw in the LabStreamingLayer(LSL) under data type. Is it p

* Open the Networking Widget and set Protocol to LSL from the dropdown in the top right of the widget.

If you want a real-time system that receives the data stream in Matlab, then use the Brainflow Matlab binding and forget about using the GUI and LSL.

Thanks for your response! I'm using the the GUI and the Networking wideget instead of the Brainflow. I think most likely the lossage of samples happened via LSL. I checked the automatic saved data by