Channel-to-Site Mapping Across Streaming Protocols

edited October 2024 in Cyton

Hi OpenBCI community,
I’m currently using an OpenBCI Cyton board with the Daisy module to collect 16-channel EEG data. The hardware setup includes the following electrode configuration:
1. Cyton Board (Channels 0-7): FP1, FP2, C3, C4, T3, T4, O1, O2
2. Daisy Module (Channels 8-15): F7, F8, F3, F4, T5, T6, P3, P4

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 consistent across these different methods.

Can anyone confirm that the data streamed via pyOpenBCI, LSL, and BrainFlow will follow this same mapping as defined by the Cyton+Daisy hardware?
Would appreciate any references that shows this clearly and could help validate this!

Thanks in advance!

Comments

  • wjcroftwjcroft Mount Shasta, CA

    Hi Ghada,

    You may be confusing the default 10-20 site-to-channel assignments used by Ultracortex and the GUI headmap, with your flexibility in assigning your own site-to-channel mapping. The image in the page below shows the default mapping.

    https://openbci.com/forum/index.php?p=/discussion/1087/connecting-mark-iv-to-cyton-including-daisy-board/p1

    You have the ability in your experiment to connect any site to any channel. In the list you gave on your initial comment, you interchanged T3 T4 with T5 T6, I corrected your list below.

    @GhadaOsaimi said:
    ... The default setup includes the following electrode configuration:
    1. Cyton Board (Channels 0-7): FP1, FP2, C3, C4, T5, T6, O1, O2
    2. Daisy Module (Channels 8-15): F7, F8, F3, F4, T3, T4, P3, P4

    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...

    pyOpenBCI is now deprecated, no longer maintained. Please use Brainflow or LSL instead.

    William

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