OpenBCI

OpenBCI 32bit Board

OpenBCI is an open source brain-computer interface platform. OpenBCI was created by Joel Murphy and Conor Russomanno, after a successful Kickstarter campaign in late 2013.

OpenBCI boards can be used to measure and record electrical activity produced by the brain (EEG), muscles (EMG), and heart (EKG), and is compatible with standard EEG electrodes. The OpenBCI boards can be used with the open source OpenBCI GUI, or they can be integrated with other open-source EEG signal processing tools.

Hardware

The OpenBCI 32bit Board uses the ADS1299, an IC developed by Texas Instruments for biopotential measurements.[1] The OpenBCI uses a microcontroller for on-board processing — the 8bit version (now deprecated) uses an Arduino-compatible ATmega328P IC, while the 32bit board uses a PIC microcontroller — and can write the EEG data to an SD card, or transmit it to software on a computer over a bluetooth link.

In 2015, OpenBCI announced the Ganglion board with a 2nd Kickstarter campaign. It costs $100 (1/5 the cost the 32bit board). It has 4 input channels for measuring EEG, EMG, and EKG, and is also bluetooth enabled.

Software

Screenshot of the OpenBCI Processing application displaying a basic electrocardiogram
Screenshot of the OpenBCI Processing application displaying a basic electrocardiogram

OpenBCI has released an open-source application for use with the OpenBCI, written with Processing. Display and processing software written in NodeJS and Python are also being developed.

3D Printed Headset

Conor Russomanno wearing the Ultracortex Mark III and Ganglion Board

Design files for a 3D printed headset for pre-production OpenBCI boards have been released on GitHub. The headset, known as the Ultracortex, holds the electrodes in place, and makes it easy to configure their placement using the 10–20 System. A headset design files are available for download from OpenBCI's Github account, or the headset can be purchased from the OpenBCI online store.

Applications

The OpenBCI has been used to control a HexBug robot using SSVEPs (Steady State Visually Evoked Potentials).[2] Locked in graffiti artist Tempt One has used the OpenBCI and the low-cost Eyewriter eye-tracking system to continue to draw after being diagnosed with the degenerative nerve disorder ALS.[3]

References

  1. ↑ Cohen, Reuven (2014-03-01). "New Open Source Platform Allows Anyone To Hack Brain Waves". Forbes. Forbes Media. Retrieved 2014-12-16.
  2. ↑ Pate, Josh (2014-08-31). "Early Openbci Researcher Hacks a Hexbug and Gives Advice to Other Brain-hackers". Neurogadget. Retrieved 2015-01-09.
  3. ↑ Pate, Josh (2014-09-16). "Brainwriter Helps Graffiti Artist Suffering from ALS to Draw Using Openbci". Neurogadget. Retrieved 2015-01-09.

External Links

This article is issued from Wikipedia - version of the Wednesday, May 04, 2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.