Related Experiment Video
Updated: Jul 5, 2026

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces
Published on: March 10, 2026
Beyond the gamma band: the role of high-frequency features in movement classification
Kai J Miller1, Pradeep Shenoy, Marcel den Nijs
1Department of Physics, University of Washington, Seattle, WA 98195, USA. kjmiller@u.washington.edu
Abstract:
Electrocorticographic spectral changes during movement show a behavioral inflection in the classic gamma band (30-70 Hz). We quantify this inflection and demonstrate that it limits classification accuracy. We call for the designation of a functionally defined band above it, which we denote the chi-band.
Related Concept Videos
IR Frequency Region: Fingerprint Region
The...
IR Frequency Region: X–H Stretching
Force Classification
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Classification of Skeletal Muscle Fibers
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
Classification of Signals
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations
