The scenario
The flowchart models a typical real-time EEG processing pipeline used in brain-computer interfaces or clinical monitoring where artifacts like eye blinks and muscle noise must be removed before feature extraction.
What is in this drawing
Read the decisions behind it.
01
Artifact detection threshold
02
Choice of artifact removal method (ICA vs ASR)
03
Classification algorithm selection
When designing or documenting EEG signal processing workflows, especially for real-time applications requiring online artifact removal and classification.
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