Prediction of isometric handgrip force from graded event-related desynchronization of the sensorimotor rhythm
Objective . Brain–computer interfaces (BCIs) show promise as a direct line of communication between
the brain and the outside world that could benefit those with impaired motor function. But the
commands available for BCI operation are often limited by the ability of the decoder to
differentiate between the many distinct motor or cognitive tasks that can be visualized or
attempted. Simple binary command signals (e.g. right hand at rest versus movement) are therefore
used due to their ability to produce large observable differences in neural recordings. At the same
time, frequent command switching can impose greater demands on the subject’s focus and takes time to
learn. Here, we attempt to decode the degree of effort in a specific movement task to produce a
graded and more flexible command signal. Approach. Fourteen healthy human subjects (nine male, five
female) responded to visual cues by squeezing a hand dynamometer to different levels of
predetermined force, gu...