  The article presents an accessible route into the field of neuroscience
through the JNEEG device. This device allows converting the Jetson Nano board
into a brain-computer interface, making it easy to measure EEG, EMG, and ECG
signals with 8 channels. With Jetson Nano is possible use deep learning for
real-time signal processing and feature extraction from EEG in real-time
without any data transmission. 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. JNEEG device demonstrates satisfactory noise
levels and accuracy for use in applied tasks with machine learning.
