https://www.preprints.org/manuscript/202405.1643/v1 [sciprints_] * Submit preprint * * How it Works * Instructions for Authors * Subject Areas * Advisory Board * screening preprints * About * Awards * * Log in/Register * preprints * Instructions for Authors * Awards * About * FAQ * [ ] Submit Log in/Register [ ] Share this article with x Create alert Email: [ ] [ ] CaptchaLoad new image --------------------------------------------------------------------- Submit x preprints.org > engineering > electrical and electronic engineering > doi: 10.20944/preprints202405.1643.v1 (registering DOI) Preprint Article Version 1 This version is not peer-reviewed Low-Cost Shield ardEEG to Measure EEG with Arduino Uno R4 WiFi [unknown-us]Ildar Rakhmatulin ^* Version 1 : Received: 23 May 2024 / Approved: 24 May 2024 / Online: 24 May 2024 (13:26:43 CEST) How to cite: 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 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 Copy Cite Export citation file: Bib TeX | RIS MDPI and ACS Style 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 APA Style Rakhmatulin, I. (2024). Low-Cost Shield ardEEG to Measure EEG with Arduino Uno R4 WiFi. Preprints. https://doi.org/10.20944/ preprints202405.1643.v1 Chicago/Turabian Style Rakhmatulin, I. 2024 "Low-Cost Shield ardEEG to Measure EEG with Arduino Uno R4 WiFi" Preprints. https://doi.org/10.20944/ preprints202405.1643.v1 Abstract The article presents an accessible route into the field of neuroscience through ardEEG device. This device allows convert Arduino UNO R4 WIFI into a brain-computer interface, making it easy to measure EEG, EMG and ECG signals with 8 channels. Over the past decade, the proliferation of artificial intelligence has significantly impacted various industries, including neurobiology. The integration of machine learning techniques has opened avenues for practical applications of EEG signals across technology sectors. This surge in interest has led to the widespread popularity of low-cost brain-computer interface devices capable of recording EEG signals using non-invasive electrodes. ardEEG device demonstrates satisfactory noise levels and accuracy for use in applied tasks. Moreover, it successfully detects alpha brain waves, showcasing its effectiveness in capturing essential neurological signals Keywords ardEEG; pieeg; EMG;EKG; EEG shield Arduino; brain-computer interface; BCI;Arduino Uno R4 WiFi Subject Engineering, Electrical and Electronic Engineering Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download PDF Comments (0) Not displayed online. Importance: How significant is the paper to the field? 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