GUI

PiEEG it is a low-cost brain-computer interface that allows measuring EEG via RaspberryPI
Manual
Manual for quick start
PiEEG SDK video maual
Practical Python Signal Processing course in Udemy comfortable for PiEEG

https://pieeg.com/
Contact: pieeg@pieeg.com

<img src="https://github.com/pieeg-club/PiEEG/blob/main/images/1729020252009.jfif" alt="alt tag" title="aloha"> <img src="https://github.com/pieeg-club/PiEEG/blob/main/images/Connection.bmp " alt="alt tag" title="aloha">

Signal test

Alpha in EEG signal

<img src="https://github.com/pieeg-club/PiEEG/blob/main/images/alpha%20(1).bmp" alt="alt tag" title="aloha" width="1200">

Artefacts (chewing and blinking) in EEG signal

<img src="https://github.com/pieeg-club/PiEEG/blob/main/images/artefacts.bmp" alt="alt tag" title="artefacts" width="1200">

EMG signal

EKG signal

<img src="https://github.com/pieeg-club/PiEEG/blob/main/images/heart1.bmp" alt="alt tag" title="artefacts" width="1200">

Pinout between Pi and PiEEG

Connect the shield to Raspberry Pi which is supplied via a 5V battery (power supply) and connect electrodes. Full galvanic isolation from mains is required.
This also applies to the monitor. Use only a monitor that is powered by the Raspberry Pi, as in the picture below, left. Electrodes are positioned according to the International 10-20 system, right

How to start

Warnings

[!WARNING] PiEEG is not medical device. 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.

[!CAUTION] The device must operate only from a battery - 5 V. Complete isolation from the mains power is required.! The device MUST not be connected to any kind of mains power, via USB or otherwise.
Power supply - only battery 5V, please read the liability

Citation

I. Rakhmatuiln, et all. (2021). Raspberry Pi Shield - for measure EEG (PIEEG). 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), 410-413. DOI: 10.1109/ICEECCOT52851.2021.9707969 link

Rakhmatulin, I., Volkl, S. (2020). PIEEG: Turn a Raspberry Pi into a Brain-Computer Interface to measure biosignals. arXiv:2201.02228, https://arxiv.org/abs/2201.02228

Contacts

http://pieeg.com/
pieeg@pieeg.com