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The Programmable Chip EEG
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Welcome to the PCEEG Wiki, where everyone can add to this EEG brain-computer interface!
Description
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The differential analog signal is amplified by the instrumentation amplifier. Then the signal is amplified and conditioned by high pass and low pass filters.
The common mode signal is inverted summed and sent back to the body to decrease common mode signal. This is done by the driver right leg circuit.
Band reject filters may be added soon in the future.
Then the analog signals are simultaniously digitized and the digital values can be clocked to the digital board.
Programmable Gain, Frequency Range & Calibration
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The digital Potentiometers made by analog devices (AD5204) has 255 positions can be adjusted by the microcomputer that can receive commands from the computer. This is a great way for analog circuitry to have digital control. This is a chip with 4 digitally controlled POTs and the pots can be daisy chained to have multiple chips controled by a single SPI interface.
Digikey Part Number: AD5204BN10-ND
Status
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We currently have a (preliminary?) circuit design and a (prelimary) PCB layout. Eventually, kits could be sold, if there were interest. More info is available at the PCEEG SourceForge home page at PCEEG sourceforge.net.
News
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The design is switching to EAGLE CAD, because the auto-router is excellent for open-source productivity. It will allow the design to evolve faster and with less work with a wider selection of PCB production houses to choose from.
Here is a picture of the PCEEG being done in EagleCAD.
The ideas and monkey to robot arm interface by Miguel Nicolelisis very inspiring. He used implanted electrodes to monitor and allow monkeys to control a robot arm as if it was their own. Could the PCEEG do the same with its electrodes on the scalp. Only the future will show.
Open Source Circuit Design
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Open Source Circuit Design Think Cycle
Open source (public) results!
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PHP will be used to create a database of users and what they sample and choose to share with the open source community.
The database will give statistical analysis on users recordings.
Also the extension of SETI called BIONIC could be used as a distributed library creation of artifacts and data mining.
Please contribute and make the PCEEG a great tool for researching brain computer interfaces.
