PiEEG: A brain-computer interface based on Raspberry Pi that can measure EEG, EMG and ECG biological signals

PiEEG is an open source Raspberry Pi-based development board that measures biological signals, such as those used for electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). PiEEG is versatile, easy to use, and compatible with different types of electrodes. Best of all, it's designed to be used by anyone. To start measuring biosignals, all you need to do is connect the electrodes and run the python script. PiEEG relies on open source software to process biological signals in real time.

The author's GitHub repository provides open source models to help you use brain-generated EEG signals to control things like robots! This device is designed to help you understand not only neuroscience, but also signal processing, filters, and machine learning.

Design Features:

- Compatible with Raspberry Pi 3 or 4
- 8 channels for connecting wet or dry electrodes
- Data transmission via SPI protocol with frequency from 250 SPS to 16 kSPS and resolution of 24 bits per channel
- Programmable signal gain: 1, 2, 4, 6, 8, 12, 24
- Ability to measure impedance
- Common mode rejection ratio CMRR - 120
- Internal noise - 0.4 μV
- External noise - 0.8 μV
- Signal-to-noise ratio (SNR) - 130 dB
- for power supply LED for indication and ADS1299 connection indication
- 3 free pins for connecting external objects (ground and Raspberry Pi channels)
- The 33 pins of the Raspberry Pi GPIO40 can be used for various tasks such as connecting external devices
- Use the provided open source Software is easily programmed to read and process data in Python, C and C++