From imagination to action: A portable non-invasive contactless neural interface based on motion imagination

The Journal of Neural Engineering has published our article: "A reliable and reproducible real-time sensorimotor access with a small number of magnetometers!"

Researchers from the LIFT Center for Interdisciplinary Neuroscience Research, in collaboration with the HSE Center for Bioelectric Interfaces and the Institute of Artificial Intelligence, have created a system for tracking rhythmic brain activity related to movement using compact magnetic field sensors.
The human brain generates ultra-weak magnetic fields that can be detected non-contact using magnetoencephalography (MEG). We used innovative optically pumped magnetometers, sensors the size of a cube of Love Is gum, fixed them on their heads over the areas responsible for movement, and asked our subjects to imagine or perform a brush movement.
It turned out that four, and sometimes even one sensor is enough to understand when the subject remained at rest and when he performed a motor task.  In addition, it turned out that each person has their own unique, time-consistent profile of rhythmic activity.  The developed method of non-contact measurement of rhythmic brain activity is convenient for neurorehabilitation after stroke in brain-computer interfaces. Unlike EEG, it does not require a gel, and compared to fNIRS, it directly evaluates electrical activity and analyzes short periods of time.
You can read the article here.