Ildaron / ardEEG

Arduino for measure EEG, EMG, and ECG bio-signals

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ardEEG shield for Arduino UNO R4 to measure EEG, EMG, and ECG bio-signals.

To Buy - ardEEG is available in the market at our partner shop Elecrow

LinkedIn for updates

Easy start

Just only 2 script one for Arduino and for Python Python in Windows (etc) and full support from PiEEG))

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.

Warnings

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 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 It is not a medical device!!! And cannot be used for any medical purposes

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How it Works

Connect the shield to Arduino Uno R4 WiFi 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 ​

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Device Pinout, where to use and how connect

Device Pinout (Shield connected with Arduino Uno R4 only at the next points and power)

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Where to use

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How connect

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Description of Code

Arduino script does not allow reading data from ADS1299 with a frequency of 250 Hz. It's necessary to use .c or .cpp scripts for reading data in real-time and Python for signal processing and visualization.

Video presentation

In this video you can see how to measure EEG

Hardware demonstrations)

For Beginners

During the measurement, in addition to artifacts caused by muscle activity, be concerned about the increased resistance between the body and the floor. For example, in the picture below, the moment when the feet touch the floor with and without an insulated shoe. Without insulated shoes - increased noise is noticeable.

Artifact test

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
Dataset

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Alpha test

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

Dataset

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8 channels reading example

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Citation

Rakhmatulin, I. Low-Cost Shield ardEEG to Measure EEG with Arduino Uno R4 WiFi. Preprints 2024, 2024051643. https://doi.org/10.20944/preprints202405.1643.v1

Contacts

ildarr2016@gmail.com
http://pieeg.com/
LinkedIn
Youtube

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Arduino for measure EEG, EMG, and ECG bio-signals


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