Common Spatial Patterns

Common Spatial Patterns (CSP) is a technique used in brain signal analysis, particularly with EEG data, to find patterns that distinguish different mental states, like imagined movements. It works by identifying spatial filters that maximize the variance (or differences) of signals between two classes (e.g., movement vs. rest), enhancing the differences while reducing noise. This helps in accurately classifying brain activity related to specific tasks, making CSP useful in brain-computer interfaces and neurological research.