Shield ardEEG to convert Arduino UNO R4  to brain-computer interface (measure EEG, EMG, and ECG bio-signals)

Arduino UNO R4 WiFi LED Matrix

Arduino IDE

Python IDLE

<html><body>The neurointerface market is expanding rapidly, yet the high cost of entry limits their widespread use to laboratories and research environments. However, with the democratization of machine learning, many researchers are now focused on feature extraction in this domain.. Consequently, there's a surge of interest in implementing these ideas for controlling robotics, manipulating external objects through the mind, or enhancing meditation and health practices. Unfortunately, existing brain-computer interfaces on the market remain prohibitively expensive and challenging to grasp without prior experience. To address this gap, we've developed a shield for the Arduino UNO WiFi board, transforming it into a brain-computer interface. Arduino is renowned for its accessibility, particularly among electronics enthusiasts, offering a gateway not only to electronics but also to bioscience. With our solution, dubbed ardEEG, we've created a low-cost, high-precision, and user-friendly device. <figure><img src="https://projects.arduinocontent.cc/d9e51f46-b524-481f-97f4-563da4b5e570.jpg"/><figcaption></figcaption></figure> The ardEEG, which available in our website (https://pieeg.com/ )enables real-time measurement and processing of eight EEG signals, opening up a realm of possibilities for machine learning enthusiasts. From controlling robots and prosthetic limbs with mere thoughts to facilitating sleep regulation and meditation, or even serving as a lie detector, the potential applications are vast. Our primary aim is to democratize neuroscience by making it accessible to anyone with an Arduino and ardEEG. <figure><img src="https://projects.arduinocontent.cc/b3ffa3eb-b62e-4295-b8bf-036b3d50e3b6.jpg"/><figcaption></figcaption></figure> This innovative device reads brain signals in microwatts, processes them, and transmits them via WiFi to a computer. With simple Python scripts, users can easily perform feature extraction and integrate the device into real-world tasks. Website https://pieeg.com/ https://youtu.be/s_5mDDUFp6E scientific paper - (will be available soon) GitHub, software in open-source https://github.com/Ildaron/ardEEG Assembled device 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 <figure><img src="https://projects.arduinocontent.cc/76456716-7ea6-43f3-a711-9659497d763d.jpg"/><figcaption></figcaption></figure> </body></html>

Shield ardEEG to convert Arduino UNO R4 to brain-computer interface (measure EEG, EMG, and ECG bio-signals)

Measure biodata as EEG, EMG, and ECG with Arduino