PiEEG is an open source Raspberry Pi shield that measures biosignals such as those used in electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). PiEEG is versatile, easy to work with, and compatible with different types of electrodes. Best of all, it was designed to be usable by anyone. To begin measuring bio-signals, all you need to do is connect the electrodes and run a Python script. Applications could include gaming, entertainment, sports, health, meditation, and more.
Thanks to open source software, PiEEG can be used to process bio-signals in real time. This device is intended to help you learn not only about neuroscience but also about signal processing, filters, and machine learning.
You can see examples we have created on our Github, and we will be providing more examples in the future. We have also included a guide for how to create your own dry electrodes.
The signals from the PiEEG can be utilized in a variety of applications, such as scientific, educational, and entertainment purposes. They can also be utilized for smart-home control, gaming, robotics, virtual-keyboard input, or even DIY polygraph experiments! We have provided examples in our GitHub to get you started, and will continue to release new examples as time goes on.
You are fully responsible for your personal decision to purchase this device and, ultimately, for its safe use. PiEEG is not a medical device and has not been certified by any government regulatory agency for use with the human body. Use it at your own risk.
We will continue to work on the project and provide users new examples of how to use the PiEEG in practice. Our GitHub provides scripts for data processing and for identifying traits, which means that this tool will be useful for those who are interested in data processing.
|PiEEG 8 (Shield)
|Cyton Board (OpenBCI)
|Signal Processing Interface
|Arduino and computer
|Analog-Digital Converter (ADC)
|Transmitter Needed to Read EEG Data
|no transmitter needed
|Can Stack with Other Shields?
|Price (in USD)
You can find the PiEEG source code, design files, datasheet, and project examples in our GitHub repository. The PiEEG is being released under the GNU General Public License (GPL) v3.0, which ensures that you can customize the PiEEG as needed. You can also reach out to us using the Ask a technical question form on our campaign page or contact Crowd Supply if you have order-specific questions.
Our production run of PiEEG boards will be fabricated and assembled by PCBWay. Once assembly is complete, they will be sent to us where we will test them to ensure each board is fully functional.
After testing the first production batch of PiEEG boards, we will package them up and send them on to Crowd Supply’s fulfillment partner, Mouser Electronics, who will distribute them to backers worldwide. You can learn more about Crowd Supply’s fulfillment service under Ordering, Paying, and Shipping in their guide.
The chip shortage for all electronics is still ongoing, but we have established contact with many suppliers. We have worked to make sure that the delivery dates are as accurate as possible based on the shipping timelines available to us, and we will let backers know if there are any unexpected changes in fulfillment.
"PiEEG is designed for everyone to use, all you should do is connect the electrodes and run the Python script to measure biosignals. And applications include gaming, entertainment, sports, health, meditation and so on."
"This paper presents an inexpensive, high-precision, but at the same time, easy-to-maintain PIEEG board to convert a RaspberryPI to a Brain-computer interface. "
"[D]irect, brain-computer interfaces (BCIs) have tremendous potential in terms of speed and efficiency, with possible applications in neuroscience research, medical devices, and even videogames."
"PiEEG aims to let people control robots and computers with their minds, using a Raspberry Pi."
Produced by hackerBCI in UK, Edinburgh.
Sold and shipped by Crowd Supply.
PiEEG board with 4 channels
Want to buy this item? Check the current project page for the latest information.