OpenEEG

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What is EEG?

EEG is a method of reading brain activity using electrodes on the scalp. We're currently trying to get a working setup that will enable us to measure alphaand beta waves, as well as providing a good enough resolution to collect some ERP data.

What is OpenEEG?

OpenEEG is an open-source EEG hardware design. The OpenEEG homepage has more information. Olimex has the boards available for purchase; it seems like a good reference design to use.

Projects being discussed

  • Brain Computer Interface for music
  • Fire art using brainwave changes
  • Kinetic art using brain data
    • Might use facial/muscular data?
  • Passthought Needs researching...
    • use ERP to select off of screen?
    • individual reaction to image?
    • How to integrate different response for under duress?

Meetup Notes

Meetup the Second

  • Boards - We talked about boards and amplifiers a whole bunch... We probably need to buy more soon. (Jonathan will add notes)
    • Tracy will check with Mitch regarding more boards.
  • The Cap - Rachel is going to buy the CAP100C EEG Cap Kit. Please give her your money.
    • What connectors does this have?
  • Facial & reference electrodes - We need to figure out how reference electrodes work with the headset.
    • Our amp boards connectors expect a reference for each electrode? We need to sort this out.
    • Discussed facial data in Emotiv headset and adding some facial & reference electrodes to the our headset setup.
    • Research implementations of the cap & sort out amplification and reference electrode setup.
    • Kelly vaguely remembers something about localization using dipoles and wonders if this would be useful. Needs research.
  • Noise - We need to set up a case of some sort with holes in it. Someone needs to take a lead on this.
    • Tracy brought a very pretty metal box. We may use that for now.
    • Sanity check our grounding and filtering setup with EKG data since we don't have a clean electrode setup for EEG yet.

First meetup: 2009-03-26 20h00 at 83c

Agenda:

  • Who's here, and what are they interested in?
  • What do we have available, and what do we need?
  • How do we get what we need?
  • Who's going to make that happen for the next meeting?

First steps

It sounds like our steps are the following:

  • Assemble a set of OpenEEG boards
  • Get together a set of electrodes
  • Get the data into a computer

Once we've done that, let's look at heartbeats. They're big and easy to see. This is also a good first step towards bootstrapping the data analysis part.

After we've gotten good signal, we can move on to strapping the thing to people's heads and looking for brainwaves. This is where things get interesting. We can export the data and throw it over to the wacky Machine Learning meetup, we can tie it into crazy Cyborg group stuff, make, and we can use it as an input to other systems (be they security, music, or teledildonics).


Here's Jonathan's sketch of a plan, which sounds reasonable to me:

  1. Get a pool of OpenEEG cards. I would suggest starting with 8. Maybe several people want to "adopt" one by buying a kit and we can have a solder party. I will adopt one myself.
  2. Put them all in a metal box with a solid ground. Ideally, it has RF
  3. Find someone with a 8-channel USB-audio interface for signal acquisition. These are pretty common with the musician crowd. (Sample rate is overkill, but that's OK). Anybody have one we could borrow?
  4. Find some good electrodes. Sanity check each channel by detecting heartbeats. (If we can't get those loud and clear, no point looking at the brain's much weaker signals.)
  5. Now are we ready to do EEGs. I would suggest -- nay, insist -- on a double-blind protocol, otherwise we will see results that aren't there. It's simply human nature. So get subject(s), over several trials, to say, attempt achieving an alpha state, and for a control, I don't know, read BoingBoing or something. Get a third party to randomize the order and keep track of data labels. (Might experiment with evoked potentials too as long as we're all set up.)
  6. When you have some data, call in the geeks. I am personally expert at Fourier analysis, and have some experience with LDA (linear discriminant analysis) using SVD (singular value decomposition). I'd be happy to share what I know (including open-source tools like Octave and SciPy) and chew on the data for an evening.
  7. Bootstrap from there, as this may not work at all.
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