Your other alternative to accessing via LSL, is to use the Brainflow library. It has a simpler interface and less complexity in components. It also talks directly to the board, instead of requiring th

I’ve been trying to access the headset's data stream by way of LSL, but I am a bit confused about the number of samples I have been getting when saving the file. I am trying to capture data for the pe

https://docs.openbci.com/Software/CompatibleThirdPartySoftware/LSL/

when I attempt to convert the streaming data to LSL, I encounter some warnings and notice that some data packets are not transmitted successfully. May I ask if you have any suggestions or recommended

... so I wonder how do you convert from -80000 to .5Hz. I am doing my work on Jupyter notebook so I might not be able to use tools in apps like LSL.

@wjrcoft. Hi, William, thanks for the reply. I did read your comment, what confused was how to build relationship between the values and voltage. As you mentioned, you think a value like -80000 should

We have deployed this fix to the examples and the GUI files. Correct, it was a change in the pylsl library.

Did you read the previous comment I left from January 2024, regarding the Cyton aux data 'external trigger' approach? LSL triggers are subject to too much timing jitter and latency because of the fact

At this moment, my setup consists of OpenBCI Gelfree BCI Cap + PsychToolbox visual trigger code + Emotibit. All streams synchronized via LSL and saved as an XDF File via LabRecorder. Emotibit is just

Hi! Fixed it. Used command ‘resolve_byprop’. I believe newer versions of the pylsl library don’t include the resolve_stream anymore FYI.

already installed both required libraries (pylsl and pyautogui). However, on pylsl, the command ' resolve_stream ' is not recognized. My copilot suggest using 'resolve_streamS' instead (and it does r

The best approach with P300 experiments, is to use the External Trigger capability of Cyton, to record a simultaneous time mark from the stimulation event, along with the actual EEG data stream. LSL m

I am doing an ERP experiment with Cyton board. I am getting a random time latency during appending the LSL marker. How we can reduce the time latency to get proper epoch from the data?

When sending LSL Time Series EEG data, you have the choice of RAW or FILTERED. The GUI Time Series plot is usually filtered. You can adjust parameters. But the CSV GUI Recording file and LSL RAW is NO

In OpenBCI GUI, the plant bioelectric potential data is displayed correctly. However, when I use LSL to send the data to Python and plot it, the waveform displayed in Python is completely different fr

I am currently studying BCI and have built a model in Python to identify the movement of the left and right hand. I want to test this model in real time using the playback option with LSL, but I'm hav

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.