PiEEG-16 measures 16 channels of biodata on a Raspberry Pi #PiDay @Raspberry_Pi
PiEEG-16 is a cost-effective gateway into the fascinating world of neuroscience. PIEEG-16 is a versatile hat for Raspberry Pi designed to measure 16 channels of various biosignals, including EEG (electroencephalography), EMG (electromyography), and ECG (electrocardiography) without any data transfer over the network (WiFi, Bluetooth) and processing and feature extraction directly on the Pi in real-time. It is the follow-on to the PiEEG posted last year.
Affordable Multichannel Measurement: The PIEEG-16 offers a budget-friendly solution for capturing 16 channels of EEG data, making it accessible to researchers, students, and hobbyists alike.
Open-Source Software: Accompanied by Python-based open-source software, the device enables users to process and analyze data with flexibility and transparency.
Near Real-Time Performance: The system boasts almost real-time capabilities, allowing for rapid adjustments to the ADS1299 chip registers and easy customization of the provided SDK to meet specific user requirements.
Satisfactory Signal Quality: Despite its affordability, the PIEEG-16 demonstrates a commendable noise level and accuracy in artifact detection, ensuring reliable data collection.
Validated Alpha Rhythm Detection: The device has been rigorously tested for its ability to detect alpha rhythms, a critical brain wave pattern in neuroscience research.
This innovative tool opens up new possibilities for neuroscience research and brain-computer interface experiments. By combining the power of RaspberryPi with specialized biosignal measurement capabilities, the PIEEG-16 represents a significant step forward in democratizing neuroscience research and exploration.
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7:30pm ET! To join, head over to YouTube and check out the show’s live chat and our Discord!
Python for Microcontrollers – Adafruit Daily — Python on Microcontrollers Newsletter: New Python Releases, an ESP32+MicroPython IDE and Much More! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey
