Low-cost 24 channels Brain-Computer interface

Currently, I am testing PiEEG-24 . So measure 24 EEG channels with  RaspberryPi (Low-cost and Open-Source). So measure EEG, EMG, EKG, and EOG data with RaspberryPi, and easy adapt Python SDK for your costume project and for research.

✔️Improved spatial resolution: More channels allow for better coverage of the scalp, providing a more detailed map of brain activity.
✔️ Enhanced signal quality: A higher number of channels can help reduce noise and improve the overall signal-to-noise ratio.
✔️Better source localization: 24 channels enable more accurate identification of the origin of specific brain activities.
✔️ Increased data richness: More channels capture a wider range of brain signals, allowing for a more comprehensive analysis of brain function.
✔️Flexibility in electrode placement: With 24 channels, researchers can choose optimal electrode positions for specific studies or applications.
✔️Reduced computational complexity: While 24 channels provide more data than systems with fewer channels, it’s still manageable compared to systems with much higher channel counts.
✔️Cost-effectiveness: PiEEG-24 likely offers a balance between performance and affordability, making it accessible for research and development purposes
✔️Compatibility with various electrodes: The system can work with both wet and dry electrodes, offering flexibility in experimental setups

Features & Specifications

• Compatible with Raspberry Pi 3, 4 and 5
• 8 channels for connecting wet or dry electrodes
• Data transfer via SPI protocol with a frequency from 250 SPS to 16 kSPS and a resolution of 24 bits per channel
• Programmable signal gain: 1, 2, 4, 6, 8, 12, 24
• Ability to measure impedance
• 3 free pins for connecting external objects (ground and Raspberry Pi channel)
• Easy programming with the provided open-source software for reading and processing data in Python