The scenario
A typical EEG-based motor imagery BCI pipeline that processes raw EEG signals through band-pass filtering, ICA artifact removal, and epoch extraction, then extracts relevant features (CSP, band power) with optional feature selection, and classifies them using LDA or SVM to generate a control signal.
What is in this drawing
Read the decisions behind it.
01
Whether to reject a segment if ICA artifact removal fails (yes/no decision).
02
Whether to apply feature selection to reduce dimensionality before classification (yes/no decision).
When designing or documenting an EEG signal processing chain for motor imagery tasks in brain-computer interface research, particularly for applications requiring robust artifact handling and feature optimization.
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