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EEG Signal Processing · Brain-Computer Interfaces · Motor Imagery

EEG Processing Pipeline for Motor Imagery

유형 순서도표준 Sugiyama layered DAG + orthogonal routing엔진 schematex-flowchart업데이트됨 2026. 7. 4.
EEG Processing Pipeline for Motor Imagery
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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.

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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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