https://openbci.com/community/brainhat-raspberry-pi-openbci-plug-and-play-lsl/

from pylsl import StreamInfo, StreamOutlet import serial import struct import time import numpy as np from scipy import signal from datetime import datetime def main(): info = StreamInfo('OpenBCI

I tried to use the LSL protocol in the Networking component, TimeseriesFilt, to stream and save it as an XDF file. Then, I plotted the channel data and could clearly see the EEG signal and changes. Bu

I don't believe the GUI has any support code for saving filtered recording files. (Other than the LSL trick you mentioned.) Mentioning Richard @retiutut.

I am aware that using LSL (Lab Streaming Layer) to output the TimeseriesFilt stream and then saving it via LabRecorder as an XDF file could work since it captures the filtered signal. However, I would

e.g., sent via a separate LSL stream, so the best option is to send the OpenBCI data via LSL and compile in a third party viewer? I saw in this thread,

The GUI display graphs have been pre-filtered to get into range. You can adjust these filter values, however the recording file is always raw with NO filtering. You should not need to go through LSL /

I still don't know how to convert the RAW data values, but I've found an alternative. Instead of using the txt files, I use the networking widget/LSL with the TimeSeriesFilt option selected to stream

Brainflow and LSL and the GUI are just reporting CHANNELS, not 10-20 sites. This order of channels to board pins remains constant across all protocols.

I’m streaming the data using different protocols and libraries, such as pyOpenBCI, Lab Streaming Layer (LSL), and BrainFlow, but I want to confirm that the channel-to-electrode mapping remains consist

Furthermore, we recommend using the GUI's Networking Widget to stream data for proof-of-concept via UDP, LSL, OSC, or Serial. This allows you to visualize real-time and playback data in the GUI while

You may have misunderstood what the Networking Widget does. You can use it to stream OUT from the GUI in only these formats: LSL, OSC, UDP, Serial.

But these seem mainly geared to the headmap display, not a general ability to reassign the channels in the LSL stream.

But these seem mainly geared to the headmap display, not a general ability to reassign the channels in the LSL stream.

But these seem mainly geared to the headmap display, not a general ability to reassign the channels in the LSL stream.

in our experiment, we plan to use cyton+daisy with OpenBCI GUI, and stream the measurements to LSL.

* LSL

I have also tried to use OpenBCI GUI time series through LSL, but it did not make accuracy better, and in GUI at all no difference can be seen between rest and action when looking at graphs.

Based on your answer I thought I might give Brainflow a go and wrote a Python script to read data via Brainflow (without using the GUI) and stream it to LSL.

(1) The OpenBCI_LSL repository / library is no longer supported or recommended. It has not been maintained in years.