Common spatial pattern

Common Spatial Pattern (CSP) is a statistical technique commonly used in the analysis of brain-computer interface (BCI) systems, particularly for classifying brain signals such as electroencephalography (EEG) data. CSP is designed to identify spatial filters that can maximize the variance of signals associated with one mental task while minimizing the variance of signals associated with another task. ### Key Concepts of CSP: 1. **Spatial Filtering**: CSP works by applying spatial filters to multichannel EEG data.