Signal processing and analysis

Using extracted features to classify or decode the user's intent. It is typically the next step after feature extraction, using algorithms to categorize features into meaningful classes for BCI applications.

The process of identifying and isolating relevant signals from brain activity data, transforming raw signals into a reduced set of features of interest.

A signal processing tool used to enhance the quality of the recorded brain signals. Filters work by allowing certain frequencies to pass through while reducing or eliminating others.

A mathematical measure used to describe the complexity or self-similarity of EEG or physiological signals.

Transforming time-domain signals into the frequency domain to analyse the signals' characteristics at different frequencies.

Features based on the power or distribution of the signal across different frequency bands.

Statistical dependencies (e.g., PLV, coherence) between brain regions.