Easy way to neuroscience with low-cost shield PiEEG-16 that allows converting Raspberry Pi to brain-computer interface (EEG device) with opportunity measure 16 channels.
Manual for device
Manual for quick start
Measure 16 EEG channels with Shield PiEEG-16 and RaspberryPi
Connect PiEEG-16 and just launch the script for graph visualization in real-time and the script to save data.
and script for saved data for graph visualization (not real-time)
This project is the result of several years of work on the development of BCI. We believe that the easiest way to get started with biosignals is to use a shield. We will try to reveal the process of reading EEG signals as fully and clearly as possible.
Warning
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 (and all connected equipment as Moniror, RaspberryPI etc ) 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 datasheet!!!!!
Connect the shield to PiEEG and after that connect the device to a battery (power supply) and connect electrodes. Full galvanic isolation from mains is required. Electrodes are positioned according to the International 10-20 system
Artifact test (Dry Electrodes, no Gel) with Dataset
The process of measuring chewing and blinking artifacts using dry electrodes (Fz). Chewing occurred in the following sequence: 4 times, 3 times, 2, and 1 time, and the same for the blinking process. The y-axis is the processed EEG signal after passing filter bands of 1-40 Hz in microvolts and with 250 samples per second
Alpha test (Dry Electrodes, no Gel, 5-sec eyes closed, 5-sec eyes closed and again) with Dataset
The process of recording an EEG signal from an electrode (Fz) with eyes open and closed. The y-axis is the processed EEG signal after passing filter bands of 8-12Hz in microvolts and with 250 samples per second
Alpha test with wavelet (Dry Electrodes, no Gel, 5-sec eyes closed, 5-sec eyes closed and again) with Dataset
Where to use
How to connect
Pins
YouTube video presentation
https://pieeg.com/news/pieeg-16-is-availabe-in-the-market/
arxive paper https://arxiv.org/abs/2409.07491
Cite: Rakhmatulin, I. (2024). PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devices. arXiv:2409.07491
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