The article introduces a low-cost ardEEG device that transforms Arduino UNO R4 WIFI into a brain-computer interface for measuring EEG, EMG, and ECG signals. This device is significant in the field of neuroscience as it detects alpha brain waves and offers satisfactory noise levels and accuracy. The integration of machine learning techniques has increased the practical applications of EEG signals in technology sectors. The popularity of low-cost brain-computer interface devices has soared due to their effectiveness in capturing neurological signals. This open-access article discusses the potential impact of AI on neurobiology and showcases the capabilities of the ardEEG device.
https://www.preprints.org/manuscript/202405.1643/v1