Part VII: Health, Biosignals, and Wearable AI
Chapter 31  [A][R]

EEG, Neural Signals, and Brain-Computer Interfaces

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Sections

  1. 31.1 Brain signals, montages, and frequency bands
  2. 31.2 Artifact removal and spectral features
  3. 31.3 Motor imagery and SSVEP BCIs
  4. 31.4 EEG foundation models (LaBraM, EEGPT, BIOT, CBraMod)
  5. 31.5 Invasive BCI: speech and handwriting decoding (Neuralink, Synchron, cortical arrays)
  6. 31.6 Non-invasive language/speech decoding
  7. 31.7 Subject adaptation, safety, and interpretability

Lab 31

build a motor-imagery classifier with subject-independent evaluation; probe an EEG foundation model.