Software

PiEEG is an open-source Raspberry Pi shield designed to measure biosignals such as those used in electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). This innovative device transforms a Raspberry Pi into a powerful and cost-effective brain-computer interface (BCI). PiEEG has integration with popular libraries and low cost make it an excellent choice for both academic and hobbyist projects in neuroscience, human-computer interaction, and biomedical engineering. By combining the accessibility of Raspberry Pi with advanced biosignal measurement capabilities, PiEEG is poised to accelerate innovation in the field of brain-computer interfaces and biosignal analysis.

PiEEG General for all  Manual

PiEEG-8 Manual for quick start

PiEEG-16 Manual for quick start

BrainFlow Integration ( Thanks to the efforts of Mindgarden)
PiEEG has been successfully integrated into the BrainFlow library, allowing for seamless data acquisition and analysisThis integration enables users to leverage BrainFlow’s uniform SDK and powerful signal processing capabilities directly with PiEEG hardware.

Real-Time Data Visualization and Storage
We have developed an SDK for real-time data visualization and EEG data storage, enhancingg the usability and research potential of PiEEG.
PiEEG is currently in the testing phase for integration with the Timeflux library, which will further expand its compatibility with various neuroscience research tools. Python for Signal Processing Course
To support users in maximizing the potential of PiEEG, we are finalizing a comprehensive Python course focused on signal processing techniques relevant to BCI applications.

Timeflux Compatibility almost finished 

Finally, we are almost finished PiEEG software with user user-friendly GUI for data collection and visualization.

We have created PiEEG Club in GitHub we all can share his scripts and some examples for PiEEG devices implementation.